LIDC

Names
More detailed information about this field from each metasource.

LIDC
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Lung Image Database Consortium
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Other names: Lung Image Database Consortium

This source may no longer be available. No known URL could be resolved successfully.

A collection in The Cancer Imaging Archive (TCIA).The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis.

Webpage:

https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI

Licence:

Name: Creative Commons Attribution v3.0
URL: https://wiki.cancerimagingarchive.net/display/Public/LIDC-IDRI#1966254a2b592e6fba14f949f6e23bb1b7804cc

Publications:

Publications
More detailed information about this field from each metasource.

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository
PMID: 23884657
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans
PMID: 21452728
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

http://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

https://doi.org/10.1007/s10278-013-9622-7
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

http://dx.doi.org/10.1007/s11548-017-1605-6
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository PubMed citations: 652.

652 articles citing: The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics. PMID:35906241
The impact of inter-observer variation in delineation on robustness of radiomics features in non-small cell lung cancer. PMID:35896707
Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features. PMID:35894016
A Pipeline for the Implementation and Visualization of Explainable Machine Learning for Medical Imaging Using Radiomics Features. PMID:35890885
A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas. PMID:35884551
AutoComBat: a generic method for harmonizing MRI-based radiomic features. PMID:35882891
Overall Survival Prediction of Glioma Patients With Multiregional Radiomics. PMID:35873825
Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1. PMID:35871247
SAFARI: shape analysis for AI-segmented images. PMID:35869424
Rhinological Status of Patients with Nasolacrimal Duct Obstruction. PMID:35846831
An Improved Machine Learning Model for Diagnostic Cancer Recognition Using Artificial Intelligence. PMID:35845582
Automatic mass detection in mammograms using deep convolutional neural networks. PMID:35834317
Morphological and Fractal Properties of Brain Tumors. PMID:35832478
Deep Learning Approaches for Automatic Localization in Medical Images. PMID:35814554
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation. PMID:35809090
Form Factors as Potential Imaging Biomarkers to Differentiate Benign vs. Malignant Lung Lesions on CT Scans. PMID:35808538
Machine Learning for Renal Pathologies: An Updated Survey. PMID:35808481
An ML prediction model based on clinical parameters and automated CT scan features for COVID-19 patients. PMID:35788637
Unsupervised computed tomography and cone-beam computed tomography image registration using a dual attention network. PMID:35782273
Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score. PMID:35782272
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation. PMID:35774412
18F-Fluorodeoxyglucose Positron Emission Tomography of Head and Neck Cancer: Location and HPV Specific Parameters for Potential Treatment Individualization. PMID:35756665
A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture. PMID:35751030
Med-SRNet: GAN-Based Medical Image Super-Resolution via High-Resolution Representation Learning. PMID:35747717
Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy. PMID:35743737
Identifying the Hub Genes of Glioma Peritumoral Brain Edema Using Bioinformatical Methods. PMID:35741689
Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration. PMID:35734265
Building reliable radiomic models using image perturbation. PMID:35710850
Iron commensalism of mesenchymal glioblastoma promotes ferroptosis susceptibility upon dopamine treatment. PMID:35710828
Automated detection and segmentation of non-small cell lung cancer computed tomography images. PMID:35701415
Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features. PMID:35701399
Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities. PMID:35681603
Deep learning features encode interpretable morphologies within histological images. PMID:35676395
A novel integrative computational framework for breast cancer radiogenomic biomarker discovery. PMID:35664228
Decreased cross-sectional muscle area in male patients with clear cell renal cell carcinoma and peritumoral collateral vessels. PMID:35646290
The progress of multimodal imaging combination and subregion based radiomics research of cancers. PMID:35637947
Generative Adversarial Network (GAN) for Automatic Reconstruction of the 3D Spine Structure by Using Simulated Bi-Planar X-ray Images. PMID:35626277
MRI-Based Radiomic Features Help Identify Lesions and Predict Histopathological Grade of Hepatocellular Carcinoma. PMID:35626241
iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images. PMID:35626093
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy. PMID:35624113
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images. PMID:35621897
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology. PMID:35602761
Data-dependent Nonlinearity Analysis in CT Denoising CNNs. PMID:35601024
Efficient multiscale fully convolutional UNet model for segmentation of 3D lung nodule from CT image. PMID:35573467
Machine Learning Models for Classifying High- and Low-Grade Gliomas: A Systematic Review and Quality of Reporting Analysis. PMID:35530302
Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer. PMID:35520623
Developing image analysis methods for digital pathology. PMID:35481680
Identification of Stably Expressed Reference microRNAs in Epithelial Ovarian Cancer. PMID:35478140
Role of Tissue Hydraulic Permeability in Convection-Enhanced Delivery of Nanoparticle-Encapsulated Chemotherapy Drugs to Brain Tumour. PMID:35474156
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images. PMID:35465230
Efficient Johnson-SB Mixture Model for Segmentation of CT Liver Image. PMID:35463693
A Supervised ML Applied Classification Model for Brain Tumors MRI. PMID:35462901
CT Reconstruction Kernels and the Effect of Pre- and Post-Processing on the Reproducibility of Handcrafted Radiomic Features. PMID:35455668
External Validation of a Convolutional Neural Network for IDH Mutation Prediction. PMID:35454365
Comprehensive analysis of epigenetics regulation, prognostic and the correlation with immune infiltrates of GPX7 in adult gliomas. PMID:35440701
Immune infiltration difference between tumor and adjacent normal regions is prognostic for gastric cancer patients. PMID:35419569
Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion. PMID:35406550
MaasPenn Radiomics Reproducibility Score: A Novel Quantitative Measure for Evaluating the Reproducibility of CT-Based Handcrafted Radiomic Features. PMID:35406372
Reduced Chest Computed Tomography Scan Length for Patients Positive for Coronavirus Disease 2019: Dose Reduction and Impact on Diagnostic Utility. PMID:35405727
Impact of deformable registration methods for prediction of recurrence free survival response to neoadjuvant chemotherapy in breast cancer: Results from the ISPY 1/ACRIN 6657 trial. PMID:35395604
A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images. PMID:35392947
Anatomical variants identified on chest computed tomography of 1000+ COVID-19 patients from an open-access dataset. PMID:35385153
Categorized contrast enhanced mammography dataset for diagnostic and artificial intelligence research. PMID:35354835
Classifying the Acquisition Sequence for Brain MRIs Using Neural Networks on Single Slices. PMID:35345703
Automatic Detection and Segmentation of Colorectal Cancer with Deep Residual Convolutional Neural Network. PMID:35341149
Brain Tumor Imaging: Applications of Artificial Intelligence. PMID:35339256
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders. PMID:35336842
Deep Learning and Domain-Specific Knowledge to Segment the Liver from Synthetic Dual Energy CT Iodine Scans. PMID:35328225
Tumor Connectomics: Mapping the Intra-Tumoral Complex Interaction Network Using Machine Learning. PMID:35326634
Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets. PMID:35324962
A proposed artificial intelligence workflow to address application challenges leveraged on algorithm uncertainty. PMID:35310335
HFCF-Net: A hybrid-feature cross fusion network for COVID-19 lesion segmentation from CT volumetric images. PMID:35301729
Automatic zonal segmentation of the prostate from 2D and 3D T2-weighted MRI and evaluation for clinical use. PMID:35300345
Development and testing quantitative metrics from multi-parametric magnetic resonance imaging that predict Gleason score for prostate tumors. PMID:35284265
CHAIMELEON Project: Creation of a Pan-European Repository of Health Imaging Data for the Development of AI-Powered Cancer Management Tools. PMID:35280732
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights. PMID:35271037
Automated pancreas segmentation and volumetry using deep neural network on computed tomography. PMID:35260710
A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. PMID:35239108
A deep learning model for molecular label transfer that enables cancer cell identification from histopathology images. PMID:35236916
A novel adaptive momentum method for medical image classification using convolutional neural network. PMID:35232390
Semantic Integration of Multi-Modal Data and Derived Neuroimaging Results Using the Platform for Imaging in Precision Medicine (PRISM) in the Arkansas Imaging Enterprise System (ARIES). PMID:35224477
Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks. PMID:35210482
Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction. PMID:35204338
Attention-guided duplex adversarial U-net for pancreatic segmentation from computed tomography images. PMID:35199477
Survival Genie, a web platform for survival analysis across pediatric and adult cancers. PMID:35197510
Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model. PMID:35194379
Lung cancer diagnosis using deep attention-based multiple instance learning and radiomics. PMID:35187667
Development of a 3D CNN-based AI Model for Automated Segmentation of the Prostatic Urethra. PMID:35183438
Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer. PMID:35174074
Design and Development of a Medical Image Databank for Assisting Studies in Radiomics. PMID:35166968
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. PMID:35161851
Radiomics Analysis Based on Magnetic Resonance Imaging for Preoperative Overall Survival Prediction in Isocitrate Dehydrogenase Wild-Type Glioblastoma. PMID:35153659
An efficient magnetic resonance image data quality screening dashboard. PMID:35148034
A porosity model for medical image segmentation of vessels. PMID:35142065
Fused feature signatures to probe tumour radiogenomics relationships. PMID:35140267
Novel-view X-ray projection synthesis through geometry-integrated deep learning. PMID:35131701
Technical note: Evaluation of a V-Net autosegmentation algorithm for pediatric CT scans: Performance, generalizability, and application to patient-specific CT dosimetry. PMID:35128672
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks. PMID:35125671
A review on advances in 18F-FDG PET/CT radiomics standardisation and application in lung disease management. PMID:35124733
Brain tumor IDH, 1p/19q, and MGMT molecular classification using MRI-based deep learning: an initial study on the effect of motion and motion correction. PMID:35118164
Preoperative Contrast-Enhanced MRI in Differentiating Glioblastoma From Low-Grade Gliomas in The Cancer Imaging Archive Database: A Proof-of-Concept Study. PMID:35111665
Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study. PMID:35111644
Prostate tumor eccentricity predicts Gleason score better than prostate tumor volume. PMID:35111607
Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes. PMID:35110593
Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps. PMID:35083528
Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning. PMID:35083500
Pediatric chest-abdomen-pelvis and abdomen-pelvis CT images with expert organ contours. PMID:35067940
A Deep Learning Framework for Segmenting Brain Tumors Using MRI and Synthetically Generated CT Images. PMID:35062484
A functional artificial neural network for noninvasive pretreatment evaluation of glioblastoma patients. PMID:35059640
Fully Automatic Deep Learning Framework for Pancreatic Ductal Adenocarcinoma Detection on Computed Tomography. PMID:35053538
Semisupervised Training of a Brain MRI Tumor Detection Model Using Mined Annotations. PMID:35040676
Robust, Primitive, and Unsupervised Quality Estimation for Segmentation Ensembles. PMID:35035351
Extraction parameter optimized radiomics for neoadjuvant chemotherapy response prognosis in advanced nasopharyngeal carcinoma. PMID:35024463
Enhanced head-skull shape learning using statistical modeling and topological features. PMID:35023072
Classification of Clinically Significant Prostate Cancer on Multi-Parametric MRI: A Validation Study Comparing Deep Learning and Radiomics. PMID:35008177
Trends in Development of Novel Machine Learning Methods for the Identification of Gliomas in Datasets That Include Non-Glioma Images: A Systematic Review. PMID:35004312
Bridging gaps between images and data: a systematic update on imaging biobanks. PMID:35001159
Repeatability of tumor perfusion kinetics from dynamic contrast-enhanced MRI in glioblastoma. PMID:34988454
Fully automatic pipeline of convolutional neural networks and capsule networks to distinguish COVID-19 from community-acquired pneumonia via CT images. PMID:34979404
Three-dimensional self super-resolution for pelvic floor MRI using a convolutional neural network with multi-orientation data training. PMID:34967014
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images. PMID:34943443
Human-level comparable control volume mapping with a deep unsupervised-learning model for image-guided radiation therapy. PMID:34942395
Degradation-Aware Deep Learning Framework for Sparse-View CT Reconstruction. PMID:34941649
Chest CT Cinematic Rendering of SARS-CoV-2 Pneumonia. PMID:34935512
Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study. PMID:34921618
Multi-scale Selection and Multi-channel Fusion Model for Pancreas Segmentation Using Adversarial Deep Convolutional Nets. PMID:34921356
Lesion covariance networks reveal proposed origins and pathways of diffuse gliomas. PMID:34917940
Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle study. PMID:34913991
Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics. PMID:34900668
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. PMID:34898850
Artificial intelligence with deep learning in nuclear medicine and radiology. PMID:34897550
Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study. PMID:34888191
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis. PMID:34885225
Prediction of Prostate Cancer Disease Aggressiveness Using Bi-Parametric Mri Radiomics. PMID:34885175
Deep Learning Predicts EBV Status in Gastric Cancer Based on Spatial Patterns of Lymphocyte Infiltration. PMID:34885112
Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography. PMID:34885094
Applications of Radiomics and Radiogenomics in High-Grade Gliomas in the Era of Precision Medicine. PMID:34885031
Generative Adversarial Networks in Digital Pathology and Histopathological Image Processing: A Review. PMID:34881098
S2FLNet: Hepatic steatosis detection network with body shape. PMID:34864582
Imaging Biomarker Development for Lower Back Pain Using Machine Learning: How Image Analysis Can Help Back Pain. PMID:34837203
Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization. PMID:34834566
Radiomics Predicts for Distant Metastasis in Locally Advanced Human Papillomavirus-Positive Oropharyngeal Squamous Cell Carcinoma. PMID:34830844
Machine learning-based pathomics signature could act as a novel prognostic marker for patients with clear cell renal cell carcinoma. PMID:34824449
Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise. PMID:34818638
Cardiac CT and MRI radiomics: systematic review of the literature and radiomics quality score assessment. PMID:34812912
Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging. PMID:34811556
A comprehensive texture feature analysis framework of renal cell carcinoma: pathological, prognostic, and genomic evaluation based on CT images. PMID:34800150
Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans. PMID:34773070
Accurate pancreas segmentation using multi-level pyramidal pooling residual U-Net with adversarial mechanism. PMID:34772359
Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas. PMID:34771562
Quantifying T2-FLAIR Mismatch Using Geographically Weighted Regression and Predicting Molecular Status in Lower-Grade Gliomas. PMID:34764084
CT-based radiomics stratification of tumor grade and TNM stage of clear cell renal cell carcinoma. PMID:34757449
Narrative online guides for the interpretation of digital-pathology images and tissue-atlas data. PMID:34750536
Deep learning-based fully automated Z-axis coverage range definition from scout scans to eliminate overscanning in chest CT imaging. PMID:34743251
The importance of adherence to international standards for depositing open data in public repositories. PMID:34727971
Impact of GAN-based lesion-focused medical image super-resolution on the robustness of radiomic features. PMID:34725417
Deep Learning-based Image Segmentation on Multimodal Medical Imaging. PMID:34722958
Design Considerations for a Steerable Needle Robot to Maximize Reachable Lung Volume. PMID:34721939
Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm. PMID:34711849
Super-Resolution Network with Information Distillation and Multi-Scale Attention for Medical CT Image. PMID:34696083
Machine learning for real-time optical property recovery in interstitial photodynamic therapy: a stimulation-based study. PMID:34692191
Stratification by Tumor Grade Groups in a Holistic Evaluation of Machine Learning for Brain Tumor Segmentation. PMID:34690680
Quantification of the spatial distribution of primary tumors in the lung to develop new prognostic biomarkers for locally advanced NSCLC. PMID:34686719
Predicting Short-Term Survival after Gross Total or Near Total Resection in Glioblastomas by Machine Learning-Based Radiomic Analysis of Preoperative MRI. PMID:34680199
SBRT of ventricular tachycardia using 4pi optimized trajectories. PMID:34679247
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset. PMID:34677301
Harnessing multimodal data integration to advance precision oncology. PMID:34663944
Predicting cancer outcomes with radiomics and artificial intelligence in radiology. PMID:34663898
Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma. PMID:34646756
A CT Denoising Neural Network with Image Properties Parameterization and Control. PMID:34646056
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images. PMID:34640976
Impact of radiogenomics in esophageal cancer on clinical outcomes: A pilot study. PMID:34629823
Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. PMID:34628257
Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs. PMID:34621541
MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis. PMID:34617029
Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine. PMID:34613667
On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms. PMID:34604523
Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy. PMID:34604050
Correlation of prostate tumor eccentricity and Gleason scoring from prostatectomy and multi-parametric-magnetic resonance imaging. PMID:34603979
Stability and Reproducibility of Radiomic Features Based Various Segmentation Technique on MR Images of Hepatocellular Carcinoma (HCC). PMID:34573915
Deep Learning of Histopathology Images at the Single Cell Level. PMID:34568816
A Survey of Brain Tumor Segmentation and Classification Algorithms. PMID:34564105
Overcoming barriers to data sharing with medical image generation: a comprehensive evaluation. PMID:34561528
Radiomic Features Associated With HPV Status on Pretreatment Computed Tomography in Oropharyngeal Squamous Cell Carcinoma Inform Clinical Prognosis. PMID:34557418
CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images. PMID:34528263
Training Convolutional Networks for Prostate Segmentation With Limited Data. PMID:34527506
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. PMID:34514469
A New General Maximum Intensity Projection Technology via the Hybrid of U-Net and Radial Basis Function Neural Network. PMID:34508300
Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer. PMID:34502160
Comparison of methods for sensitivity correction in Talbot-Lau computed tomography. PMID:34499282
Improving Generalization of Deep Learning Models for Diagnostic Pathology by Increasing Variability in Training Data: Experiments on Osteosarcoma Subtypes. PMID:34497734
Low-Dose CT Image Denoising with Improving WGAN and Hybrid Loss Function. PMID:34484414
Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images. PMID:34465703
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms. PMID:34460371
Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data. PMID:34439099
Uncovering Spatiotemporal Heterogeneity of High-Grade Gliomas: From Disease Biology to Therapeutic Implications. PMID:34422657
Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma. PMID:34390014
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. PMID:34382117
Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets. PMID:34375365
Automatic Segmentation of Mandible from Conventional Methods to Deep Learning-A Review. PMID:34357096
A Deep Unsupervised Learning Model for Artifact Correction of Pelvis Cone-Beam CT. PMID:34350115
Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network. PMID:34337394
Learning Medical Materials From Radiography Images. PMID:34337390
The Effect of Heterogenous Subregions in Glioblastomas on Survival Stratification: A Radiomics Analysis Using the Multimodality MRI. PMID:34318731
Assessment of the global noise algorithm for automatic noise measurement in head CT examinations. PMID:34314528
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images. PMID:34306240
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography. PMID:34304321
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. PMID:34300498
Imaging-Genomics in Glioblastoma: Combining Molecular and Imaging Signatures. PMID:34295824
Pixel-wise body composition prediction with a multi-task conditional generative adversarial network. PMID:34284118
A DICOM dataset for evaluation of medical image de-identification. PMID:34272388
Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study. PMID:34271855
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study. PMID:34255661
Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT. PMID:34249654
Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas. PMID:34241550
Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs. PMID:34238968
Quality control of radiomic features using 3D-printed CT phantoms. PMID:34222557
Total Lesion Glycolysis Estimated by a Radiomics Model From CT Image Alone. PMID:34221979
A deep look into radiomics. PMID:34213702
Sharing Biomedical Data: Strengthening AI Development in Healthcare. PMID:34208830
A Cascaded Neural Network for Staging in Non-Small Cell Lung Cancer Using Pre-Treatment CT. PMID:34200270
Patient-specific hyperparameter learning for optimization-based CT image reconstruction. PMID:34186530
NCI Imaging Data Commons. PMID:34185678
Training and Validation of Deep Learning-Based Auto-Segmentation Models for Lung Stereotactic Ablative Radiotherapy Using Retrospective Radiotherapy Planning Contours. PMID:34164335
Deep learning for semi-automated unidirectional measurement of lung tumor size in CT. PMID:34162439
Deep learning for end-to-end kidney cancer diagnosis on multi-phase abdominal computed tomography. PMID:34145374
A Bayesian approach to tissue-fraction estimation for oncological PET segmentation. PMID:34125078
Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer. PMID:34123789
A Transfer Model Based on Supervised Multi-Layer Dictionary Learning for Brain Tumor MRI Image Recognition. PMID:34122003
Brain Tumor MR Image Classification Using Convolutional Dictionary Learning With Local Constraint. PMID:34122001
Using neural networks to extend cropped medical images for deformable registration among images with differing scan extents. PMID:34101198
Reducing False-Positives in Lung Nodules Detection Using Balanced Datasets. PMID:34095073
Domain adaptation for segmentation of critical structures for prostate cancer therapy. PMID:34075061
Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs. PMID:34064923
Additional Value of PET/CT-Based Radiomics to Metabolic Parameters in Diagnosing Lynch Syndrome and Predicting PD1 Expression in Endometrial Carcinoma. PMID:34055595
An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures. PMID:34054424
A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases. PMID:34026615
The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up. PMID:34026602
Application and Construction of Deep Learning Networks in Medical Imaging. PMID:34017931
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. PMID:33994894
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification. PMID:33964886
Improving the Subtype Classification of Non-small Cell Lung Cancer by Elastic Deformation Based Machine Learning. PMID:33963422
The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset. PMID:33961646
Reproducibility of radiomic features using network analysis and its application in Wasserstein k-means clustering. PMID:33954225
Using Computed Tomography (CT) Data to Build 3D Resources for Forensic Craniofacial Identification. PMID:33945132
Automated Segmentation of Abdominal Skeletal Muscle on Pediatric CT Scans Using Deep Learning. PMID:33937859
Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports. PMID:33937843
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. PMID:33937783
Radiomic biomarkers of tumor immune biology and immunotherapy response. PMID:33937530
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. PMID:33932751
Impact of feature selection methods and subgroup factors on prognostic analysis with CT-based radiomics in non-small cell lung cancer patients. PMID:33931085
Artificial intelligence for clinical oncology. PMID:33930310
The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features' Stability with and without ComBat Harmonization. PMID:33924382
Development of a Convolutional Neural Network Based Skull Segmentation in MRI Using Standard Tesselation Language Models. PMID:33923480
DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution. PMID:33897991
Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response. PMID:33891149
Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy. PMID:33889546
Effect of Applying Leakage Correction on rCBV Measurement Derived From DSC-MRI in Enhancing and Nonenhancing Glioma. PMID:33869047
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction. PMID:33863917
Radiomic profiling of clear cell renal cell carcinoma reveals subtypes with distinct prognoses and molecular pathways. PMID:33862522
Constrained generative adversarial network ensembles for sharable synthetic medical images. PMID:33855104
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. PMID:33835928
Are radiomics features universally applicable to different organs? PMID:33827699
Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes. PMID:33827490
A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks. PMID:33816834
A Voxel-Based Radiographic Analysis Reveals the Biological Character of Proneural-Mesenchymal Transition in Glioblastoma. PMID:33816228
Identification of Novel Transcriptome Signature as a Potential Prognostic Biomarker for Anti-Angiogenic Therapy in Glioblastoma Multiforme. PMID:33804433
Convolutional Neural Networks and Geometric Moments to Identify the Bilateral Symmetric Midplane in Facial Skeletons from CT Scans. PMID:33801432
The Prognostic Value of Radiomics Features Extracted From Computed Tomography in Patients With Localized Clear Cell Renal Cell Carcinoma After Nephrectomy. PMID:33747910
Multiview Self-Supervised Segmentation for OARs Delineation in Radiotherapy. PMID:33747116
Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts. PMID:33742070
Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy. PMID:33738253
Deep learning classification of lung cancer histology using CT images. PMID:33727623
Requirements and reliability of AI in the medical context. PMID:33721700
A Deep Learning Approach to Diagnostic Classification of Prostate Cancer Using Pathology-Radiology Fusion. PMID:33719168
Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. PMID:33681459
A Systematic Review of PET Textural Analysis and Radiomics in Cancer. PMID:33672285
The Florida Pancreas Collaborative Next-Generation Biobank: Infrastructure to Reduce Disparities and Improve Survival for a Diverse Cohort of Patients with Pancreatic Cancer. PMID:33671939
Deep Learning Based HPV Status Prediction for Oropharyngeal Cancer Patients. PMID:33668646
MRI-Based Deep-Learning Method for Determining Glioma MGMT Promoter Methylation Status. PMID:33664111
A Systematic Approach of Data Collection and Analysis in Medical Imaging Research. PMID:33639671
Validation of Segmented Brain Tumor from MRI Images Using 3D Printingthe. PMID:33639669
Radiogenomic modeling predicts survival-associated prognostic groups in glioblastoma. PMID:33615222
Quantitative Characterization of Tumor Proximity to Stem Cell Niches: Implications on Recurrence and Survival in GBM Patients. PMID:33600888
Technical Note: Patient-morphed mesh-type phantoms to support personalized nuclear medicine dosimetry - a proof of concept study. PMID:33595863
Analyzing magnetic resonance imaging data from glioma patients using deep learning. PMID:33571780
A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients. PMID:33567361
Utilizing Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Analyze Interstitial Fluid Flow and Transport in Glioblastoma and the Surrounding Parenchyma in Human Patients. PMID:33557069
3D Registration of pre-surgical prostate MRI and histopathology images via super-resolution volume reconstruction. PMID:33550008
Integrating Multiomics Information in Deep Learning Architectures for Joint Actuarial Outcome Prediction in Non-Small Cell Lung Cancer Patients After Radiation Therapy. PMID:33539966
Standardization of imaging methods for machine learning in neuro-oncology. PMID:33521640
Machine Learning for Histologic Subtype Classification of Non-Small Cell Lung Cancer: A Retrospective Multicenter Radiomics Study. PMID:33520719
Data-Driven Methods for Advancing Precision Oncology. PMID:33520605
Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades. PMID:33515086
Batch Similarity Based Triplet Loss Assembled into Light-Weighted Convolutional Neural Networks for Medical Image Classification. PMID:33498800
Performance-aware programming for intraoperative intensity-based image registration on graphics processing units. PMID:33484431
An empirical meta-analysis of the life sciences linked open data on the web. PMID:33479214
MuSA: a graphical user interface for multi-OMICs data integration in radiogenomic studies. PMID:33452365
CT-based peritumoral radiomics signatures for malignancy grading of clear cell renal cell carcinoma. PMID:33427908
EGFR/SRC/ERK-stabilized YTHDF2 promotes cholesterol dysregulation and invasive growth of glioblastoma. PMID:33420027
Relationship between visceral adipose tissue and genetic mutations (VHL and KDM5C) in clear cell renal cell carcinoma. PMID:33400184
The Biological Meaning of Radiomic Features. PMID:33399513
Fast automated detection of COVID-19 from medical images using convolutional neural networks. PMID:33398067
Algorithms applied to spatially registered multi-parametric MRI for prostate tumor volume measurement. PMID:33392016
Interpretable Machine Learning Model for Locoregional Relapse Prediction in Oropharyngeal Cancers. PMID:33379188
Glioblastoma Distance From the Subventricular Neural Stem Cell Niche Does Not Correlate With Survival. PMID:33363006
Universal scaling laws rule explosive growth in human cancers. PMID:33329756
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review. PMID:33326405
Predictive Value of Temporal Muscle Thickness Measurements on Cranial Magnetic Resonance Images in the Prognosis of Patients With Primary Glioblastoma. PMID:33304303
Convolutional neural network for automated mass segmentation in mammography. PMID:33297952
Predictive Modeling for Voxel-Based Quantification of Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma (PDAC): A Multi-Institutional Study. PMID:33291471
Radiomic features based on Hessian index for prediction of prognosis in head-and-neck cancer patients. PMID:33277570
Chest imaging representing a COVID-19 positive rural U.S. population. PMID:33235265
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. PMID:33221055
Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma. PMID:33212885
The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database. PMID:33205130
Low-dose CT image and projection dataset. PMID:33202055
The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey. PMID:33198332
Context aware deep learning for brain tumor segmentation, subtype classification, and survival prediction using radiology images. PMID:33184301
CT-ORG, a new dataset for multiple organ segmentation in computed tomography. PMID:33177518
Joint Imaging Platform for Federated Clinical Data Analytics. PMID:33166197
On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise. PMID:33152716
Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients. PMID:33145587
Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset. PMID:33118182
Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data. PMID:33102623
Deep learning-based medical image segmentation with limited labels. PMID:33086205
Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. PMID:33075658
Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma. PMID:33068415
Synthesis of Prostate MR Images for Classification Using Capsule Network-Based GAN Model. PMID:33050243
A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods. PMID:33041635
A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas. PMID:33035963
Detection and Classification of Immature Leukocytes for Diagnosis of Acute Myeloid Leukemia Using Random Forest Algorithm. PMID:33019619
The future of digital health with federated learning. PMID:33015372
A convolutional neural network for fully automated blood SUV determination to facilitate SUR computation in oncological FDG-PET. PMID:33006022
Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection. PMID:32991288
Web-Based Technology for Remote Viewing of Radiological Images: App Validation. PMID:32975520
Tumor heterogeneity estimation for radiomics in cancer. PMID:32964647
XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma. PMID:32942564
Tumor immune profiles noninvasively estimated by FDG PET with deep learning correlate with immunotherapy response in lung adenocarcinoma. PMID:32929383
Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase-enhanced CT images. PMID:32914197
Radiomics analysis using stability selection supervised component analysis for right-censored survival data. PMID:32905923
Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net. PMID:32868836
Reciprocal change in Glucose metabolism of Cancer and Immune Cells mediated by different Glucose Transporters predicts Immunotherapy response. PMID:32863946
Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation. PMID:32850304
Artificial intelligence in radiation oncology. PMID:32843739
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. PMID:32840721
Artificial Intelligence-Based Clinical Decision Support for COVID-19-Where Art Thou? PMID:32838300
Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images. PMID:32837591
Predicting Lung Cancer Patients' Survival Time via Logistic Regression-based Models in a Quantitative Radiomic Framework. PMID:32802796
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. PMID:32772385
Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques. PMID:32758279
Provider Engagement in Radiation Oncology Data Science: Workshop Report. PMID:32755458
PleThora: Pleural effusion and thoracic cavity segmentations in diseased lungs for benchmarking chest CT processing pipelines. PMID:32749075
Towards Population-Based Histologic Stain Normalization of Glioblastoma. PMID:32743562
Three-dimensional visualization of brain tumor progression based accurate segmentation via comparative holographic projection. PMID:32730365
Prognostic value of baseline [18F]-fluorodeoxyglucose positron emission tomography parameters MTV, TLG and asphericity in an international multicenter cohort of nasopharyngeal carcinoma patients. PMID:32730364
Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. PMID:32728098
Federated learning in medicine: facilitating multi-institutional collaborations without sharing patient data. PMID:32724046
Automated Quality Assurance of OAR Contouring for Lung Cancer Based on Segmentation With Deep Active Learning. PMID:32719742
Biobanks-A Platform for Scientific and Biomedical Research. PMID:32708805
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas. PMID:32705083
Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. PMID:32704007
Radiomics Features Predict CIC Mutation Status in Lower Grade Glioma. PMID:32676453
Communication, collaboration and contagion: "Virtualisation" of anatomy during COVID-19. PMID:32648289
Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. PMID:32635216
DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data. PMID:32627144
Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT. PMID:32627049
Domain Transform Network for Photoacoustic Tomography from Limited-view and Sparsely Sampled Data. PMID:32617261
Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training. PMID:32603860
Radiogenomics Based on PET Imaging. PMID:32582396
Investigation of inter-fraction target motion variations in the context of pencil beam scanned proton therapy in non-small cell lung cancer patients. PMID:32573792
The Combination of Low Skeletal Muscle Mass and High Tumor Interleukin-6 Associates with Decreased Survival in Clear Cell Renal Cell Carcinoma. PMID:32560494
CT-based Radiomic Signatures for Predicting Histopathologic Features in Head and Neck Squamous Cell Carcinoma. PMID:32550599
Combination of generative adversarial network and convolutional neural network for automatic subcentimeter pulmonary adenocarcinoma classification. PMID:32550134
Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge. PMID:32548297
Multisite Technical and Clinical Performance Evaluation of Quantitative Imaging Biomarkers from 3D FDG PET Segmentations of Head and Neck Cancer Images. PMID:32548282
Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic Magnetic Resonance Imaging Using Mask Region-Based Convolutional Neural Networks. PMID:32529143
Radiomics in Breast Imaging from Techniques to Clinical Applications: A Review. PMID:32524780
FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections. PMID:32521049
Weakly-supervised learning for lung carcinoma classification using deep learning. PMID:32518413
Increased visceral adipose tissue in clear cell renal cell carcinoma with and without peritumoral collateral vessels. PMID:32516557
Robustness study of noisy annotation in deep learning based medical image segmentation. PMID:32503027
Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology. PMID:32501772
Comparative study of preclinical mouse models of high-grade glioma for nanomedicine research: the importance of reproducing blood-brain barrier heterogeneity. PMID:32483457
Multi-Level Cross Residual Network for Lung Nodule Classification. PMID:32429401
Integrating cross-modality hallucinated MRI with CT to aid mediastinal lung tumor segmentation. PMID:32420549
3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction. PMID:32409715
Quantitative Imaging Informatics for Cancer Research. PMID:32392097
Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. PMID:32391171
Understanding artificial intelligence based radiology studies: What is overfitting? PMID:32387803
Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning. PMID:32382048
Surgical spectral imaging. PMID:32375102
The Impact of Obesity on Tumor Glucose Uptake in Breast and Lung Cancer. PMID:32368718
Automating proton treatment planning with beam angle selection using Bayesian optimization. PMID:32356335
The Exceptional Responders Initiative: Feasibility of a National Cancer Institute Pilot Study. PMID:32339229
Multimodal mixed reality visualisation for intraoperative surgical guidance. PMID:32333360
Prediction of Non-small Cell Lung Cancer Histology by a Deep Ensemble of Convolutional and Bidirectional Recurrent Neural Network. PMID:32333132
Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research. PMID:32324447
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. PMID:32318102
Quantifying the incremental value of deep learning: Application to lung nodule detection. PMID:32287288
Efficient CT Image Reconstruction in a GPU Parallel Environment. PMID:32280749
Immunotherapy in Metastatic Colorectal Cancer: Could the Latest Developments Hold the Key to Improving Patient Survival? PMID:32268531
Determining patient abdomen thickness from a single digital radiograph with a computational model: clinical results from a proof of concept study. PMID:32267728
Integration of proteomics with CT-based qualitative and radiomic features in high-grade serous ovarian cancer patients: an exploratory analysis. PMID:32253542
Integrative Radiogenomics Approach for Risk Assessment of Post-Operative Metastasis in Pathological T1 Renal Cell Carcinoma: A Pilot Retrospective Cohort Study. PMID:32252440
Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines. PMID:32206688
A quantitative validation of segmented colon in virtual colonoscopy using image moments. PMID:32200958
Automated proton treatment planning with robust optimization using constrained hierarchical optimization. PMID:32196679
Next-Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Algorithms. PMID:32185618
Identifying BAP1 Mutations in Clear-Cell Renal Cell Carcinoma by CT Radiomics: Preliminary Findings. PMID:32185138
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. PMID:32154773
Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches. PMID:32153349
AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium. PMID:32152622
Data-driven translational prostate cancer research: from biomarker discovery to clinical decision. PMID:32143723
CT images with expert manual contours of thoracic cancer for benchmarking auto-segmentation accuracy. PMID:32128809
Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study. PMID:32120229
Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS. PMID:32107398
The Impact of Normalization Approaches to Automatically Detect Radiogenomic Phenotypes Characterizing Breast Cancer Receptors Status. PMID:32102334
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma. PMID:32079590
Preparing Medical Imaging Data for Machine Learning. PMID:32068507
Radiomic profiles in diffuse glioma reveal distinct subtypes with prognostic value. PMID:32065261
Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi. PMID:32043528
Textural radiomic features and time-intensity curve data analysis by dynamic contrast-enhanced MRI for early prediction of breast cancer therapy response: preliminary data. PMID:32026095
Individual-patient prediction of meningioma malignancy and survival using the Surveillance, Epidemiology, and End Results database. PMID:32025573
Predicting the ISUP grade of clear cell renal cell carcinoma with multiparametric MR and multiphase CT radiomics. PMID:32002635
An introduction to deep learning in medical physics: advantages, potential, and challenges. PMID:31972556
Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century. PMID:31965813
Effects of Focused-Ultrasound-and-Microbubble-Induced Blood-Brain Barrier Disruption on Drug Transport under Liposome-Mediated Delivery in Brain Tumour: A Pilot Numerical Simulation Study. PMID:31952336
Simultaneous emission and attenuation reconstruction in time-of-flight PET using a reference object. PMID:31932984
Multi-Disease Segmentation of Gliomas and White Matter Hyperintensities in the BraTS Data Using a 3D Convolutional Neural Network. PMID:31920609
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. PMID:31920606
Deep learning based image reconstruction algorithm for limited-angle translational computed tomography. PMID:31905225
Brain Imaging Genomics: Integrated Analysis and Machine Learning. PMID:31902950
Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma. PMID:31880401
Dynamic conformal arcs for lung stereotactic body radiation therapy: A comparison with volumetric-modulated arc therapy. PMID:31880386
Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis. PMID:31857632
Learning-based deformable image registration: effect of statistical mismatch between train and test images. PMID:31853461
Design and evaluation of an accurate CNR-guided small region iterative restoration-based tumor segmentation scheme for PET using both simulated and real heterogeneous tumors. PMID:31848977
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. PMID:31840093
Call for Data Standardization: Lessons Learned and Recommendations in an Imaging Study. PMID:31834820
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learning. PMID:31824982
Feasibility of synthetic computed tomography generated with an adversarial network for multi-sequence magnetic resonance-based brain radiotherapy. PMID:31822894
A Comparison of the Efficiency of Using a Deep CNN Approach with Other Common Regression Methods for the Prediction of EGFR Expression in Glioblastoma Patients. PMID:31797142
Imaging biomarkers for brain metastases: more than meets the eye. PMID:31777936
A Kernel Theory of Modern Data Augmentation. PMID:31777848
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. PMID:31768885
In Silico Approach for the Definition of radiomiRNomic Signatures for Breast Cancer Differential Diagnosis. PMID:31756987
Imaging Phenotypes of Breast Cancer Heterogeneity in Preoperative Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) Scans Predict 10-Year Recurrence. PMID:31732521
Is an analytical dose engine sufficient for intensity modulated proton therapy in lung cancer? PMID:31696729
Radiogenomics of lower-grade gliomas: machine learning-based MRI texture analysis for predicting 1p/19q codeletion status. PMID:31691122
A Block Adaptive Near-Lossless Compression Algorithm for Medical Image Sequences and Diagnostic Quality Assessment. PMID:31659588
Radiomics with artificial intelligence: a practical guide for beginners. PMID:31650960
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure. PMID:31641134
A novel fully automated MRI-based deep-learning method for classification of IDH mutation status in brain gliomas. PMID:31637430
Combined Megavoltage and Contrast-Enhanced Radiotherapy as an Intrafraction Motion Management Strategy in Lung SBRT. PMID:31630665
Radiomics in stratification of pancreatic cystic lesions: Machine learning in action. PMID:31629933
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets. PMID:31622238
Are shape morphologies associated with survival? A potential shape-based biomarker predicting survival in lung cancer. PMID:31620897
Pragmatic randomised clinical trial of proton versus photon therapy for patients with non-metastatic breast cancer: the Radiotherapy Comparative Effectiveness (RadComp) Consortium trial protocol. PMID:31619413
Bringing radiomics into a multi-omics framework for a comprehensive genotype-phenotype characterization of oncological diseases. PMID:31590671
Lung Cancer Radiomics: Highlights from the IEEE Video and Image Processing Cup 2018 Student Competition. PMID:31543691
Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PMID:31536526
Bone Marrow and Tumor Radiomics at 18F-FDG PET/CT: Impact on Outcome Prediction in Non-Small Cell Lung Cancer. PMID:31526257
Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer. PMID:31515756
Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network. PMID:31514173
Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns. PMID:31482151
A Radiogenomic Approach for Decoding Molecular Mechanisms Underlying Tumor Progression in Prostate Cancer. PMID:31480766
Radiomics in hepatocellular carcinoma: a quantitative review. PMID:31473947
Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network. PMID:31468158
Imaging signatures of glioblastoma molecular characteristics: A radiogenomics review. PMID:31456318
Tumor Transcriptome Reveals High Expression of IL-8 in Non-Small Cell Lung Cancer Patients with Low Pectoralis Muscle Area and Reduced Survival. PMID:31455042
Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. PMID:31431633
Proton vs photon: A model-based approach to patient selection for reduction of cardiac toxicity in locally advanced lung cancer. PMID:31431365
Improving PET Imaging Acquisition and Analysis With Machine Learning: A Narrative Review With Focus on Alzheimer's Disease and Oncology. PMID:31429375
Enhancing Clinical Data and Clinical Research Data with Biomedical Ontologies - Insights from the Knowledge Representation Perspective. PMID:31419826
Prediction of 1p/19q Codeletion in Diffuse Glioma Patients Using Pre-operative Multiparametric Magnetic Resonance Imaging. PMID:31417387
Automated AJCC (7th edition) staging of non-small cell lung cancer (NSCLC) using deep convolutional neural network (CNN) and recurrent neural network (RNN). PMID:31406570
Automatic Staging of Cancer Tumors Using AIM Image Annotations and Ontologies. PMID:31396778
A radiogenomics signature for predicting the clinical outcome of bladder urothelial carcinoma. PMID:31396730
Computed Tomography (CT) Image Quality Enhancement via a Uniform Framework Integrating Noise Estimation and Super-Resolution Networks. PMID:31366173
Preliminary Clinical Study of the Differences Between Interobserver Evaluation and Deep Convolutional Neural Network-Based Segmentation of Multiple Organs at Risk in CT Images of Lung Cancer. PMID:31334129
Volumetric and Voxel-Wise Analysis of Dominant Intraprostatic Lesions on Multiparametric MRI. PMID:31334128
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. PMID:31296975
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. PMID:31274206
Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising. PMID:31266234
PARaDIM: A PHITS-Based Monte Carlo Tool for Internal Dosimetry with Tetrahedral Mesh Computational Phantoms. PMID:31201251
Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement. PMID:31190077
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. PMID:31187399
Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features. PMID:31166787
Endoscopic navigation in the clinic: registration in the absence of preoperative imaging. PMID:31152381
An overview of publicly available patient-centered prostate cancer datasets. PMID:31143673
Reliability of tumor segmentation in glioblastoma: Impact on the robustness of MRI-radiomic features. PMID:31131906
Biobanking in health care: evolution and future directions. PMID:31118074
Generation of Standardized E-Learning Content from Digital Medical Collections. PMID:31104150
An Appraisal of Nodule Diagnosis for Lung Cancer in CT Images. PMID:31093830
The deformable most-likely-point paradigm. PMID:31078111
Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network. PMID:31077390
Toward automatic prediction of EGFR mutation status in pulmonary adenocarcinoma with 3D deep learning. PMID:31074592
Open access image repositories: high-quality data to enable machine learning research. PMID:31040006
The French glioblastoma biobank (FGB): a national clinicobiological database. PMID:31014363
Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer. PMID:31002322
Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities. PMID:30987172
Effective Diagnosis and Treatment through Content-Based Medical Image Retrieval (CBMIR) by Using Artificial Intelligence. PMID:30959798
Atlas-based automatic planning and 3D-2D fluoroscopic guidance in pelvic trauma surgery. PMID:30921783
An Efficient Framework for Accurate Arterial Input Selection in DSC-MRI of Glioma Brain Tumors. PMID:30881936
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges. PMID:30867832
[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung Cancer. PMID:30854452
A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival. PMID:30847586
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. PMID:30840739
Classification of suspicious lesions on prostate multiparametric MRI using machine learning. PMID:30840719
Inter-rater agreement in glioma segmentations on longitudinal MRI. PMID:30825711
Automatic multiorgan segmentation in thorax CT images using U-net-GAN. PMID:30810231
Deep learning in head & neck cancer outcome prediction. PMID:30809047
Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia? PMID:30807223
Domain-Based Analysis of Colon Polyp in CT Colonography Using Image-Processing Techniques. PMID:30806070
Advancing Semantic Interoperability of Image Annotations: Automated Conversion of Non-standard Image Annotations in a Commercial PACS to the Annotation and Image Markup. PMID:30805778
3D-printed breast phantom for multi-purpose and multi-modality imaging. PMID:30788247
Data Engineering for Machine Learning in Women's Imaging and Beyond. PMID:30779668
A 3D-Printed Patient-Specific Phantom for External Beam Radiation Therapy of Prostate Cancer. PMID:30775692
A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer. PMID:30770825
Ventricular-Subventricular Zone Contact by Glioblastoma is Not Associated with Molecular Signatures in Bulk Tumor Data. PMID:30755636
Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas. PMID:30747300
Imaging-Genomic Study of Head and Neck Squamous Cell Carcinoma: Associations Between Radiomic Phenotypes and Genomic Mechanisms via Integration of The Cancer Genome Atlas and The Cancer Imaging Archive. PMID:30730765
Radiomics-based machine learning methods for isocitrate dehydrogenase genotype prediction of diffuse gliomas. PMID:30719536
Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study. PMID:30718547
Assessing robustness of radiomic features by image perturbation. PMID:30679599
Emerging Applications of Artificial Intelligence in Neuro-Oncology. PMID:30667332
Quantitative Characterization of CD8+ T Cell Clustering and Spatial Heterogeneity in Solid Tumors. PMID:30666298
Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas. PMID:30661193
An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images. PMID:30621101
Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients. PMID:30523451
An annotated test-retest collection of prostate multiparametric MRI. PMID:30512014
Classification of the glioma grading using radiomics analysis. PMID:30498643
Technical Note: More accurate and efficient segmentation of organs-at-risk in radiotherapy with convolutional neural networks cascades. PMID:30450825
Radiomics: the facts and the challenges of image analysis. PMID:30426318
Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. PMID:30361935
A radiogenomic dataset of non-small cell lung cancer. PMID:30325352
Tumor-aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. PMID:30294726
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis. PMID:30290849
Reliable gene mutation prediction in clear cell renal cell carcinoma through multi-classifier multi-objective radiogenomics model. PMID:30277889
Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype. PMID:30270031
An Evaluation of HTML5 and WebGL for Medical Imaging Applications. PMID:30245782
Automatic estimation of the aortic lumen geometry by ellipse tracking. PMID:30244307
Predicting Genotype and Survival in Glioma Using Standard Clinical MR Imaging Apparent Diffusion Coefficient Images: A Pilot Study from The Cancer Genome Atlas. PMID:30190259
Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. PMID:30179230
Classification of lung adenocarcinoma transcriptome subtypes from pathological images using deep convolutional networks. PMID:30159833
Glioblastoma Recurrence Correlates With Increased APE1 and Polarization Toward an Immuno-Suppressive Microenvironment. PMID:30151353
Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. PMID:30144101
3D deep learning for detecting pulmonary nodules in CT scans. PMID:30137371
Glioblastoma radiomics: can genomic and molecular characteristics correlate with imaging response patterns? PMID:30094640
Medical 3D printing for vascular interventions and surgical oncology: a primer for the 2016 radiological society of North America (RSNA) hands-on course in 3D printing. PMID:30050977
DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning. PMID:30035154
Reproducing two-dimensional mammograms with three-dimensional printed phantoms. PMID:30035152
Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients. PMID:30010760
A novel fused convolutional neural network for biomedical image classification. PMID:30003400
Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks. PMID:29994628
Convolutional neural networks: an overview and application in radiology. PMID:29934920
Prediction of survival with multi-scale radiomic analysis in glioblastoma patients. PMID:29915951
Highly accurate model for prediction of lung nodule malignancy with CT scans. PMID:29915334
Reengineering Workflow for Curation of DICOM Datasets. PMID:29907888
Deep Learning data integration for better risk stratification models of bladder cancer. PMID:29888072
Inhibition of Wnt/beta-catenin signaling downregulates expression of aldehyde dehydrogenase isoform 3A1 (ALDH3A1) to reduce resistance against temozolomide in glioblastoma in vitro. PMID:29854309
Methylation of L1RE1, RARB, and RASSF1 function as possible biomarkers for the differential diagnosis of lung cancer. PMID:29851970
Evolutionary image simplification for lung nodule classification with convolutional neural networks. PMID:29845453
Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project. PMID:29794239
Artificial intelligence in radiology. PMID:29777175
Machine learning: a useful radiological adjunct in determination of a newly diagnosed glioma's grade and IDH status. PMID:29770897
Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas. PMID:29748206
Automatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI. PMID:29732345
Non-invasive tumor genotyping using radiogenomic biomarkers, a systematic review and oncology-wide pathway analysis. PMID:29732009
Breast MRI radiomics: comparison of computer- and human-extracted imaging phenotypes. PMID:29708200
Finding relevant biomedical datasets: the UC San Diego solution for the bioCADDIE Retrieval Challenge. PMID:29688374
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization. PMID:29672639
Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer. PMID:29653585
Joint solution for PET image segmentation, denoising, and partial volume correction. PMID:29627687
A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data. PMID:29617727
Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma. PMID:29600296
Integrative analysis of imaging and transcriptomic data of the immune landscape associated with tumor metabolism in lung adenocarcinoma: Clinical and prognostic implications. PMID:29556367
Automatic interstitial photodynamic therapy planning via convex optimization. PMID:29552420
Analysis of Vestibular Labyrinthine Geometry and Variation in the Human Temporal Bone. PMID:29535601
Agile convolutional neural network for pulmonary nodule classification using CT images. PMID:29473129
Learning to Compose Domain-Specific Transformations for Data Augmentation. PMID:29375240
Influence of Contrast Administration on Computed Tomography-Based Analysis of Visceral Adipose and Skeletal Muscle Tissue in Clear Cell Renal Cell Carcinoma. PMID:29350403
To share or not to share? Expected pros and cons of data sharing in radiological research. PMID:29349697
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. PMID:29311558
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. PMID:29308456
Multi-field query expansion is effective for biomedical dataset retrieval. PMID:29220457
MRI to MGMT: predicting methylation status in glioblastoma patients using convolutional recurrent neural networks. PMID:29218894
Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging. PMID:29167275
An Efficient Pipeline for Abdomen Segmentation in CT Images. PMID:29067570
Planning, guidance, and quality assurance of pelvic screw placement using deformable image registration. PMID:29058687
Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT. PMID:29047035
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging Network. PMID:29021993
Big data management challenges in health research-a literature review. PMID:28968677
Modification of population based arterial input function to incorporate individual variation. PMID:28958876
2D and 3D CT Radiomics Features Prognostic Performance Comparison in Non-Small Cell Lung Cancer. PMID:28930698
The public cancer radiology imaging collections of The Cancer Imaging Archive. PMID:28925987
Comparison of novel multi-level Otsu (MO-PET) and conventional PET segmentation methods for measuring FDG metabolic tumor volume in patients with soft tissue sarcoma. PMID:28921170
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features. PMID:28872634
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. PMID:28860628
Delineation of Tumor Habitats based on Dynamic Contrast Enhanced MRI. PMID:28851989
Radiology and Enterprise Medical Imaging Extensions (REMIX). PMID:28840365
Prognostic value and molecular correlates of a CT image-based quantitative pleural contact index in early stage NSCLC. PMID:28786009
Creation and Curation of the Society of Imaging Informatics in Medicine Hackathon Dataset. PMID:28730549
Associations between gene expression profiles of invasive breast cancer and Breast Imaging Reporting and Data System MRI lexicon. PMID:28706887
MRI features predict survival and molecular markers in diffuse lower-grade gliomas. PMID:28339588
High-resolution anatomic correlation of cyclic motor patterns in the human colon: Evidence of a rectosigmoid brake. PMID:28336544
Spatiotemporal genomic architecture informs precision oncology in glioblastoma. PMID:28263318
Multi-site quality and variability analysis of 3D FDG PET segmentations based on phantom and clinical image data. PMID:28205306
GIFT-Cloud: A data sharing and collaboration platform for medical imaging research. PMID:28187889
Comparison of Safety Margin Generation Concepts in Image Guided Radiotherapy to Account for Daily Head and Neck Pose Variations. PMID:28033416
LUNGx Challenge for computerized lung nodule classification. PMID:28018939
Magnetic resonance perfusion image features uncover an angiogenic subgroup of glioblastoma patients with poor survival and better response to antiangiogenic treatment. PMID:28007759
A longitudinal four-dimensional computed tomography and cone beam computed tomography dataset for image-guided radiation therapy research in lung cancer. PMID:27991677
Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree. PMID:27981409
Mesoscopic imaging of glioblastomas: Are diffusion, perfusion and spectroscopic measures influenced by the radiogenetic phenotype? PMID:27864578
Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set. PMID:27853751
Radiomic features from the peritumoral brain parenchyma on treatment-naïve multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings. PMID:27778090
Unravelling tumour heterogeneity using next-generation imaging: radiomics, radiogenomics, and habitat imaging. PMID:27742105
-Omic and Electronic Health Record Big Data Analytics for Precision Medicine. PMID:27740470
Exploring cancer genomic data from the cancer genome atlas project. PMID:27530686
Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research. PMID:27440183
Identification of biomarkers for pseudo and true progression of GBM based on radiogenomics study. PMID:27421136
Integrative analysis of diffusion-weighted MRI and genomic data to inform treatment of glioblastoma. PMID:27393347
Approaches to uncovering cancer diagnostic and prognostic molecular signatures. PMID:27308330
Overview of the American Society for Radiation Oncology-National Institutes of Health-American Association of Physicists in Medicine Workshop 2015: Exploring Opportunities for Radiation Oncology in the Era of Big Data. PMID:27302503
DICOM for quantitative imaging biomarker development: a standards based approach to sharing clinical data and structured PET/CT analysis results in head and neck cancer research. PMID:27257542
MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. PMID:27144536
G-DOC Plus - an integrative bioinformatics platform for precision medicine. PMID:27130330
Bolus arrival time and its effect on tissue characterization with dynamic contrast-enhanced magnetic resonance imaging. PMID:26989759
Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique. PMID:26959065
Integrative radiogenomic analysis for multicentric radiophenotype in glioblastoma. PMID:26863628
Special Section Guest Editorial:Radiomics and Imaging Genomics: Quantitative Imaging for Precision Medicine. PMID:26839908
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data. PMID:26835491
How Will Big Data Improve Clinical and Basic Research in Radiation Therapy? PMID:26797542
Biomechanical model for computing deformations for whole-body image registration: A meshless approach. PMID:26791945
Computational Identification of Tumor Anatomic Location Associated with Survival in 2 Large Cohorts of Human Primary Glioblastomas. PMID:26744442
Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma. PMID:26639025
Radiomics: Images Are More than Pictures, They Are Data. PMID:26579733
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. PMID:26576732
Prognostic Imaging Biomarkers in Glioblastoma: Development and Independent Validation on the Basis of Multiregion and Quantitative Analysis of MR Images. PMID:26348233
Somatic mutations associated with MRI-derived volumetric features in glioblastoma. PMID:26337765
MIRMAID: A Content Management System for Medical Image Analysis Research. PMID:26284301
Multicenter imaging outcomes study of The Cancer Genome Atlas glioblastoma patient cohort: imaging predictors of overall and progression-free survival. PMID:26203066
LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. PMID:26158094
Effect of color visualization and display hardware on the visual assessment of pseudocolor medical images. PMID:26127048
De-identification of Medical Images with Retention of Scientific Research Value. PMID:25969931
Optimising delineation accuracy of tumours in PET for radiotherapy planning using blind deconvolution. PMID:25836686
A Query Tool for Investigator Access to the Data and Images of the National Lung Screening Trial. PMID:25739345
The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. PMID:25691825
Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive. PMID:24772218
Multisite Image Data Collection and Management Using the RSNA Image Sharing Network. PMID:24772205
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans PubMed citations: 281.

281 articles citing: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans

The Role of Artificial Intelligence in Early Cancer Diagnosis. PMID:35326674
Application of Artificial Intelligence in Lung Cancer. PMID:35326521
Human-level COVID-19 diagnosis from low-dose CT scans using a two-stage time-distributed capsule network. PMID:35318368
Res-trans networks for lung nodule classification. PMID:35290646
Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology. PMID:35271304
Computer-Assisted Image Processing System for Early Assessment of Lung Nodule Malignancy. PMID:35267425
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. PMID:35252849
A Limited-View CT Reconstruction Framework Based on Hybrid Domains and Spatial Correlation. PMID:35214348
Deep Learning Applications in Computed Tomography Images for Pulmonary Nodule Detection and Diagnosis: A Review. PMID:35204388
Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction. PMID:35204338
Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs. PMID:35202204
ADA-COVID: Adversarial Deep Domain Adaptation-Based Diagnosis of COVID-19 from Lung CT Scans Using Triplet Embeddings. PMID:35154300
Novel-view X-ray projection synthesis through geometry-integrated deep learning. PMID:35131701
LungSeek: 3D Selective Kernel residual network for pulmonary nodule diagnosis. PMID:35103029
Pulmonary nodules detection based on multi-scale attention networks. PMID:35087078
MEDAS: an open-source platform as a service to help break the walls between medicine and informatics. PMID:35068703
Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans. PMID:35066393
Application of Deep Learning in Lung Cancer Imaging Diagnosis. PMID:35028122
A radiomics approach for lung nodule detection in thoracic CT images based on the dynamic patterns of morphological variation. PMID:35020016
Two-stage multitask U-Net construction for pulmonary nodule segmentation and malignancy risk prediction. PMID:34993079
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19). PMID:34976571
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images. PMID:34943443
Artificial intelligence with deep learning in nuclear medicine and radiology. PMID:34897550
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis. PMID:34885225
Cancer Risk Estimation Combining Lung Screening CT with Clinical Data Elements. PMID:34870220
Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists. PMID:34870218
Imaging Biomarker Development for Lower Back Pain Using Machine Learning: How Image Analysis Can Help Back Pain. PMID:34837203
Improving robustness of a deep learning-based lung-nodule classification model of CT images with respect to image noise. PMID:34818638
State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods. PMID:34771708
Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions. PMID:34754327
Design of lung nodules segmentation and recognition algorithm based on deep learning. PMID:34749636
How does DICOM support big data management? Investigating its use in medical imaging community. PMID:34748101
Design Considerations for a Steerable Needle Robot to Maximize Reachable Lung Volume. PMID:34721939
Decoding intra-tumoral spatial heterogeneity on radiological images using the Hilbert curve. PMID:34716809
A Dataset of Pulmonary Lesions With Multiple-Level Attributes and Fine Contours. PMID:34713070
The augmented radiologist: artificial intelligence in the practice of radiology. PMID:34664088
Generative Adversarial Networks and Radiomics Supervision for Lung Lesion Synthesis. PMID:34658481
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. PMID:34650825
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images. PMID:34640976
Accurate segmentation for different types of lung nodules on CT images using improved U-Net convolutional network. PMID:34622882
A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network. PMID:34621329
Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging. PMID:34584080
Radiomics for Everyone: A New Tool Simplifies Creating Parametric Maps for the Visualization and Quantification of Radiomics Features. PMID:34564303
A depthwise separable dense convolutional network with convolution block attention module for COVID-19 diagnosis on CT scans. PMID:34530335
A systematic review and meta-analysis of diagnostic performance and physicians' perceptions of artificial intelligence (AI)-assisted CT diagnostic technology for the classification of pulmonary nodules. PMID:34527320
Radiomics and Digital Image Texture Analysis in Oncology (Review). PMID:34513082
A New General Maximum Intensity Projection Technology via the Hybrid of U-Net and Radial Basis Function Neural Network. PMID:34508300
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice. PMID:34499049
Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications. PMID:34460700
Accelerating 3D Medical Image Segmentation by Adaptive Small-Scale Target Localization. PMID:34460634
A Survey of Deep Learning for Lung Disease Detection on Medical Images: State-of-the-Art, Taxonomy, Issues and Future Directions. PMID:34460528
Detection of Lung Nodules in Micro-CT Imaging Using Deep Learning. PMID:34449750
COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. PMID:34425317
Lung nodule malignancy classification with weakly supervised explanation generation. PMID:34423071
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans. PMID:34412837
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. PMID:34364263
Impact of Lesion Delineation and Intensity Quantisation on the Stability of Texture Features from Lung Nodules on CT: A Reproducible Study. PMID:34359305
Review of Deep Learning Based Automatic Segmentation for Lung Cancer Radiotherapy. PMID:34336704
Equivariant neural networks for inverse problems. PMID:34334869
Deep Learning-Based Approaches to Improve Classification Parameters for Diagnosing COVID-19 from CT Images. PMID:34306240
Characteristics of expert search behavior in volumetric medical image interpretation. PMID:34277889
Three-stage segmentation of lung region from CT images using deep neural networks. PMID:34266391
Deep learning for COVID-19 detection based on CT images. PMID:34253822
Comparative evaluation of conventional and deep learning methods for semi-automated segmentation of pulmonary nodules on CT. PMID:34249654
Artificial intelligence for detection and characterization of pulmonary nodules in lung cancer CT screening: ready for practice? PMID:34164285
COVID-index: A texture-based approach to classifying lung lesions based on CT images. PMID:34121775
3D axial-attention for lung nodule classification. PMID:34060010
A review of deep learning based methods for medical image multi-organ segmentation. PMID:33992856
Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning. PMID:33964020
ai-corona: Radiologist-assistant deep learning framework for COVID-19 diagnosis in chest CT scans. PMID:33961635
CT-Based COVID-19 triage: Deep multitask learning improves joint identification and severity quantification. PMID:33932751
Pulmonary Hypertension in Association with Lung Disease: Quantitative CT and Artificial Intelligence to the Rescue? State-of-the-Art Review. PMID:33918838
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction. PMID:33863917
Understanding Sources of Variation to Improve the Reproducibility of Radiomics. PMID:33854969
High precision localization of pulmonary nodules on chest CT utilizing axial slice number labels. PMID:33836677
Lung Nodule Segmentation with a Region-Based Fast Marching Method. PMID:33803297
An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning. PMID:33799219
The Effects of Perinodular Features on Solid Lung Nodule Classification. PMID:33791910
A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data. PMID:33791593
Prospects and Challenges of Radiomics by Using Nononcologic Routine Chest CT. PMID:33778599
Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy. PMID:33738253
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. PMID:33733206
Multiple U-Net-Based Automatic Segmentations and Radiomics Feature Stability on Ultrasound Images for Patients With Ovarian Cancer. PMID:33680934
Deep learning for COVID-19 chest CT (computed tomography) image analysis: A lesson from lung cancer. PMID:33680351
Automatic detection of COVID-19 disease using U-Net architecture based fully convolutional network. PMID:33643425
A novel technology to integrate imaging and clinical markers for non-invasive diagnosis of lung cancer. PMID:33633213
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning. PMID:33617450
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. PMID:33601166
SARS-CoV-2 diagnosis using medical imaging techniques and artificial intelligence: A review. PMID:33545517
Lung Nodule Classification Using Biomarkers, Volumetric Radiomics, and 3D CNNs. PMID:33532893
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images. PMID:33446870
3D multi-scale deep convolutional neural networks for pulmonary nodule detection. PMID:33411741
Deep convolutional neural networks for multiplanar lung nodule detection: Improvement in small nodule identification. PMID:33300162
LGAN: Lung segmentation in CT scans using generative adversarial network. PMID:33278767
Artificial Intelligence Tools for Refining Lung Cancer Screening. PMID:33261057
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection. PMID:33250956
Capsules for biomedical image segmentation. PMID:33246227
DeepLN: an artificial intelligence-based automated system for lung cancer screening. PMID:33240975
Reproducible and Interpretable Spiculation Quantification for Lung Cancer Screening. PMID:33221055
Models Genesis. PMID:33188996
On the robustness of deep learning-based lung-nodule classification for CT images with respect to image noise. PMID:33152716
The invisible breast cancer: Experience does not protect against inattentional blindness to clinically relevant findings in radiology. PMID:33140228
Machine-learning-based multiple abnormality prediction with large-scale chest computed tomography volumes. PMID:33129142
2D CNN versus 3D CNN for false-positive reduction in lung cancer screening. PMID:33062802
A novel comparative study for detection of Covid-19 on CT lung images using texture analysis, machine learning, and deep learning methods. PMID:33041635
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. PMID:33037212
Automatic detection of pulmonary nodules on CT images with YOLOv3: development and evaluation using simulated and patient data. PMID:33014725
Review on Diagnosis of COVID-19 from Chest CT Images Using Artificial Intelligence. PMID:33014121
Advancing COVID-19 differentiation with a robust preprocessing and integration of multi-institutional open-repository computer tomography datasets for deep learning analysis. PMID:32968435
Strategic Initiatives for Veterans with Lung Cancer. PMID:32908355
Social Group Optimization-Assisted Kapur's Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images. PMID:32837591
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19. PMID:32834523
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets. PMID:32796848
Development and clinical application of deep learning model for lung nodules screening on CT images. PMID:32788705
DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. PMID:32772385
Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation. PMID:32755895
Volumetric lung nodule segmentation using adaptive ROI with multi-view residual learning. PMID:32732963
Radiomics feature reproducibility under inter-rater variability in segmentations of CT images. PMID:32728098
The Invasiveness Classification of Ground-Glass Nodules Using 3D Attention Network and HRCT. PMID:32705434
Convolutional Neural Network ensembles for accurate lung nodule malignancy prediction 2 years in the future. PMID:32658721
UNet++: A Nested U-Net Architecture for Medical Image Segmentation. PMID:32613207
Optical Flow Methods for Lung Nodule Segmentation on LIDC-IDRI Images. PMID:32556911
Segmentation of small ground glass opacity pulmonary nodules based on Markov random field energy and Bayesian probability difference. PMID:32552724
Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets. PMID:32548288
Ensemble classification for predicting the malignancy level of pulmonary nodules on chest computed tomography images. PMID:32537025
External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis. PMID:32488865
Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality. PMID:32456194
Multi-Level Cross Residual Network for Lung Nodule Classification. PMID:32429401
3D-MCN: A 3D Multi-scale Capsule Network for Lung Nodule Malignancy Prediction. PMID:32409715
Quantitative Imaging Informatics for Cancer Research. PMID:32392097
Classification of Lung Nodules Based on Deep Residual Networks and Migration Learning. PMID:32318102
Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan. PMID:32296645
Combining multi-scale feature fusion with multi-attribute grading, a CNN model for benign and malignant classification of pulmonary nodules. PMID:32285220
Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning. PMID:32144499
A Two-Stage Framework for Automated Malignant Pulmonary Nodule Detection in CT Scans. PMID:32121281
An Embedded Multi-branch 3D Convolution Neural Network for False Positive Reduction in Lung Nodule Detection. PMID:32095944
Preparing Medical Imaging Data for Machine Learning. PMID:32068507
Development and application of artificial intelligence in cardiac imaging. PMID:32017605
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images: a Comprehensive Review. PMID:31997045
Optimal Statistical Incorporation of Independent Feature Stability Information into Radiomics Studies. PMID:31959832
Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT. PMID:31929952
Classification of lung nodules based on CT images using squeeze-and-excitation network and aggregated residual transformations. PMID:31916105
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation. PMID:31841402
Eliminating biasing signals in lung cancer images for prognosis predictions with deep learning. PMID:31840093
The Performance of Deep Learning Algorithms on Automatic Pulmonary Nodule Detection and Classification Tested on Different Datasets That Are Not Derived from LIDC-IDRI: A Systematic Review. PMID:31795409
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect. PMID:31786740
A manifold learning regularization approach to enhance 3D CT image-based lung nodule classification. PMID:31768885
CMed: Crowd Analytics for Medical Imaging Data. PMID:31751242
Radiomics Nomogram Analyses for Differentiating Pneumonia and Acute Paraquat Lung Injury. PMID:31636276
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets. PMID:31622238
Annotations, Ontologies, and Whole Slide Images - Development of an Annotated Ontology-Driven Whole Slide Image Library of Normal and Abnormal Human Tissue. PMID:31523480
Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies. PMID:31466261
An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. PMID:31454710
Cancer Diagnosis Using Deep Learning: A Bibliographic Review. PMID:31450799
iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. PMID:31406194
Lung Cancer Detection using Probabilistic Neural Network with modified Crow-Search Algorithm. PMID:31350980
Clinical impact of variability on CT radiomics and suggestions for suitable feature selection: a focus on lung cancer. PMID:31349872
Predicting lung nodule malignancies by combining deep convolutional neural network and handcrafted features. PMID:31307017
An Interpretable Deep Hierarchical Semantic Convolutional Neural Network for Lung Nodule Malignancy Classification. PMID:31296975
Analysis of Perceptual Expertise in Radiology - Current Knowledge and a New Perspective. PMID:31293407
Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules. PMID:31189944
Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. PMID:31144149
DeepLNAnno: a Web-Based Lung Nodules Annotating System for CT Images. PMID:31119468
A Novel Computer-Aided Diagnosis Scheme on Small Annotated Set: G2C-CAD. PMID:31119180
An Appraisal of Nodule Diagnosis for Lung Cancer in CT Images. PMID:31093830
Reducing the tracking drift of an uncontoured tumor for a portal-image-based dynamically adapted conformal radiotherapy treatment. PMID:31089863
Lung Nodule Detection in CT Images Using a Raw Patch-Based Convolutional Neural Network. PMID:31062113
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning. PMID:31044393
An Open Science Approach to Artificial Intelligence in Healthcare. PMID:31022753
Lung nodule classification using deep Local-Global networks. PMID:31020576
Machine Learning and Deep Neural Networks in Thoracic and Cardiovascular Imaging. PMID:31009397
Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting. PMID:30998808
Histogram-based models on non-thin section chest CT predict invasiveness of primary lung adenocarcinoma subsolid nodules. PMID:30979926
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges. PMID:30867832
Automatic Pulmonary Nodule Detection Applying Deep Learning or Machine Learning Algorithms to the LIDC-IDRI Database: A Systematic Review. PMID:30866425
Improving Accuracy of Lung Nodule Classification Using Deep Learning with Focal Loss. PMID:30863524
Multi-Objective-Based Radiomic Feature Selection for Lesion Malignancy Classification. PMID:30835231
Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia? PMID:30807223
A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules. PMID:30803208
Data Engineering for Machine Learning in Women's Imaging and Beyond. PMID:30779668
Lung Cancer Screening, Towards a Multidimensional Approach: Why and How? PMID:30759893
Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks. PMID:30719445
Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data. PMID:30677145
Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence. PMID:30670024
Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography. PMID:30629724
An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images. PMID:30621101
Classification of lung nodules in CT scans using three-dimensional deep convolutional neural networks with a checkpoint ensemble method. PMID:30509191
Expert knowledge-infused deep learning for automatic lung nodule detection. PMID:30452432
Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats. PMID:30383900
Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. PMID:30361935
Can the spherical gold standards be used as an alternative to painted gold standards for the computerized detection of lesions using voxel-based classification? PMID:30343401
A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules. PMID:30244648
Automatic estimation of the aortic lumen geometry by ellipse tracking. PMID:30244307
3D deep learning for detecting pulmonary nodules in CT scans. PMID:30137371
Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning. PMID:30052644
Lung cancer prediction using machine learning and advanced imaging techniques. PMID:30050768
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. PMID:30040632
A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. PMID:29948089
Convolutional neural networks: an overview and application in radiology. PMID:29934920
3D Segmentation Algorithms for Computerized Tomographic Imaging: a Systematic Literature Review. PMID:29915942
Highly accurate model for prediction of lung nodule malignancy with CT scans. PMID:29915334
Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs. PMID:29873026
The utilisation of convolutional neural networks in detecting pulmonary nodules: a review. PMID:29869919
Evolutionary image simplification for lung nodule classification with convolutional neural networks. PMID:29845453
Classification of malignant and benign lung nodules using taxonomic diversity index and phylogenetic distance. PMID:29790102
Deep learning aided decision support for pulmonary nodules diagnosing: a review. PMID:29780633
Lung Nodule Detection via Deep Reinforcement Learning. PMID:29713615
Lung Cancer Screening, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology. PMID:29632061
Multistage segmentation model and SVM-ensemble for precise lung nodule detection. PMID:29492880
Performance analysis of a computer-aided detection system for lung nodules in CT at different slice thicknesses. PMID:29487880
Agile convolutional neural network for pulmonary nodule classification using CT images. PMID:29473129
Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer. PMID:29457229
Detection of Lung Contour with Closed Principal Curve and Machine Learning. PMID:29450843
Semi-automated pulmonary nodule interval segmentation using the NLST data. PMID:29363773
To share or not to share? Expected pros and cons of data sharing in radiological research. PMID:29349697
Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules. PMID:29308456
Lung Lesion Detection in CT Scan Images Using the Fuzzy Local Information Cluster Means (FLICM) Automatic Segmentation Algorithm and Back Propagation Network Classification. PMID:29286609
Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric. PMID:29185058
Detection of Juxtapleural Nodules in Lung Cancer Cases Using an Optimal Critical Point Selection Algorithm. PMID:29172292
3D multi-view convolutional neural networks for lung nodule classification. PMID:29145492
Computational Radiomics System to Decode the Radiographic Phenotype. PMID:29092951
Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture. PMID:29047033
Discovery radiomics via evolutionary deep radiomic sequencer discovery for pathologically proven lung cancer detection. PMID:29021990
The public cancer radiology imaging collections of The Cancer Imaging Archive. PMID:28925987
A segmentation method for lung nodule image sequences based on superpixels and density-based spatial clustering of applications with noise. PMID:28880916
Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network. PMID:28864824
3D Convolutional Neural Network for Automatic Detection of Lung Nodules in Chest CT. PMID:28845077
A unified methodology based on sparse field level sets and boosting algorithms for false positives reduction in lung nodules detection. PMID:28795318
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation. PMID:28688283
Ziehl-Neelsen sputum smear microscopy image database: a resource to facilitate automated bacilli detection for tuberculosis diagnosis. PMID:28680911
Large-scale image region documentation for fully automated image biomarker algorithm development and evaluation. PMID:28612037
Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation. PMID:28594880
Computer-Aided Diagnosis of Lung Nodules in Computed Tomography by Using Phylogenetic Diversity, Genetic Algorithm, and SVM. PMID:28526968
Fifty years of computer analysis in chest imaging: rule-based, machine learning, deep learning. PMID:28211015
Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features. PMID:28149958
Seamless Lesion Insertion for Data Augmentation in CAD Training. PMID:28113310
Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research. PMID:28083826
Pulmonary Nodule Classification with Deep Convolutional Neural Networks on Computed Tomography Images. PMID:28070212
LUNGx Challenge for computerized lung nodule classification. PMID:28018939
Rapid Retrieval of Lung Nodule CT Images Based on Hashing and Pruning Methods. PMID:27995140
Lung nodule malignancy classification using only radiologist-quantified image features as inputs to statistical learning algorithms: probing the Lung Image Database Consortium dataset with two statistical learning methods. PMID:27990453
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis. PMID:27922113
A method for evaluating the performance of computer-aided detection of pulmonary nodules in lung cancer CT screening: detection limit for nodule size and density. PMID:27897029
3D shape analysis to reduce false positives for lung nodule detection systems. PMID:27752930
Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM. PMID:27699621
Correlation coefficient based supervised locally linear embedding for pulmonary nodule recognition. PMID:27686707
Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer. PMID:27678255
Selecting relevant 3D image features of margin sharpness and texture for lung nodule retrieval. PMID:27553081
Fuzzy Clustering Applied to ROI Detection in Helical Thoracic CT Scans with a New Proposal and Variants. PMID:27517049
Automatic weighing attribute to retrieve similar lung cancer nodules. PMID:27460071
Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research. PMID:27440183
Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans. PMID:27079888
Lung nodule segmentation in chest computed tomography using a novel background estimation method. PMID:26981451
Computational assessment of visual search strategies in volumetric medical images. PMID:26759815
Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy. PMID:26759159
A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images. PMID:26738871
Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database. PMID:26443601
Computer-aided classification of lung nodules on computed tomography images via deep learning technique. PMID:26346558
Differential geometry-based techniques for characterization of boundary roughness of pulmonary nodules in CT images. PMID:26337440
A novel bone suppression method that improves lung nodule detection : Suppressing dedicated bone shadows in radiographs while preserving the remaining signal. PMID:26337439
Seamless Insertion of Pulmonary Nodules in Chest CT Images. PMID:26080378
A Segmentation Framework of Pulmonary Nodules in Lung CT Images. PMID:26055544
Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification. PMID:25945120
Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine. PMID:25888834
Large scale validation of the M5L lung CAD on heterogeneous CT datasets. PMID:25832038
Shape and texture based novel features for automated juxtapleural nodule detection in lung CTs. PMID:25732079
Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. PMID:25708891
Lung nodule and cancer detection in computed tomography screening. PMID:25658477
Fast and adaptive detection of pulmonary nodules in thoracic CT images using a hierarchical vector quantization scheme. PMID:25486657
Texture feature analysis for computer-aided diagnosis on pulmonary nodules. PMID:25117512
Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons. PMID:24919829
The Quantitative Imaging Network: NCI's Historical Perspective and Planned Goals. PMID:24772201
Computer-aided detection system for lung cancer in computed tomography scans: review and future prospects. PMID:24713067
A content-boosted collaborative filtering algorithm for personalized training in interpretation of radiological imaging. PMID:24526520
Visual Interpretation with Three-Dimensional Annotations (VITA): three-dimensional image interpretation tool for radiological reporting. PMID:23979113
Evaluation of computer-aided detection and diagnosis systems. PMID:23927365
Automated aorta segmentation in low-dose chest CT images. PMID:23877280
The invisible gorilla strikes again: sustained inattentional blindness in expert observers. PMID:23863753
Hybrid method for the detection of pulmonary nodules using positron emission tomography/computed tomography: a preliminary study. PMID:23793722
Radiomics: the process and the challenges. PMID:22898692
Automatic localization of vertebral levels in x-ray fluoroscopy using 3D-2D registration: a tool to reduce wrong-site surgery. PMID:22864366
http://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX
https://doi.org/10.1007/s10278-013-9622-7
http://dx.doi.org/10.1007/s11548-017-1605-6

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Lung Image Database Consortium
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The Cancer Imaging Archive

Prevention, detection, treatment: adult lung disease/cancer in rural Tamil Nadu

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Integrated Genomic Database of Non-Small Cell Lung Cancer

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Cell Ontology for Mouse Lung Maturation

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LIDC Names More detailed information about this field from each metasource. × LIDC metasource: BiŌkeanós-Medsourcing version: 0.0.1:2022-11-04T13:34:25.975929 Lung Image Database Consortium metasource: BiŌkeanós-Medsourcing version: 0.0.1:2022-11-04T13:34:25.975929 Close

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The Cancer Imaging Archive

Prevention, detection, treatment: adult lung disease/cancer in rural Tamil Nadu

LCMD

Integrated Genomic Database of Non-Small Cell Lung Cancer

HLungDB

DARWIN1 Trial

Cell Ontology for Human Lung Maturation

Cell Ontology for Mouse Lung Maturation

The Cancer Immunome Atlas

UK BiLEVE Consortium Dataset

GENOMICS ENGLAND 100K PHE LINKED DATA

UK Lung Volume Reduction Surgery

Curie Image Database

OMIDB

Anatomic Ontology for Human Lung Maturation

Anatomic Ontology for Mouse Lung Maturation

Diagnostic Imaging Dataset

Annotation and Image Markup

The whole brain Atlas

German Centre for Cancer Registry Data

LIDC

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More detailed information about this field from each metasource.

LIDC
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Lung Image Database Consortium
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929