SCR

Names
More detailed information about this field from each metasource.

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

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

Segmentation in Chest Radiographs
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Other names: SCR database, Segmentation in Chest Radiographs

The automatic segmentation of anatomical structures in chest radiographs is of great importance for computer-aided diagnosis in these images. The SCR database has been established to facilitate comparative studies on segmentation of the lung fields, the heart and the clavicles in standard posterior-anterior chest radiographs.

Webpage:

http://www.isi.uu.nl/Research/Databases/SCR/

Licence:

Name: Resource specific
URL: http://www.isi.uu.nl/Research/Databases/SCR/

Publications:

Publications
More detailed information about this field from each metasource.

Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules
PMID: 10628457
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database
PMID: 15919232
metasource: BiŌkeanós-Medsourcing
version: 0.0.1:2022-11-04T13:34:25.975929

Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules PubMed citations: 96.

96 articles citing: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules

The Oddity Detection in Diverse Scenes (ODDS) database: Validated real-world scenes for studying anomaly detection. PMID:35353316
Application of Artificial Intelligence in Lung Cancer. PMID:35326521
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence. PMID:35296262
An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images. PMID:35206201
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography. PMID:35112097
U-shaped GAN for Semi-Supervised Learning and Unsupervised Domain Adaptation in High Resolution Chest Radiograph Segmentation. PMID:35096877
BDCNet: multi-classification convolutional neural network model for classification of COVID-19, pneumonia, and lung cancer from chest radiographs. PMID:35068705
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays. PMID:35054355
Deep Learning-Based Four-Region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. PMID:35054267
Segmentation and classification on chest radiography: a systematic survey. PMID:35035008
COVID-19 detection in X-ray images using convolutional neural networks. PMID:34939042
Deep learning-based bone suppression in chest radiographs using CT-derived features: a feasibility study. PMID:34888191
Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey. PMID:34786304
An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research. PMID:34719891
A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation. PMID:34647180
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images. PMID:34640976
A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network. PMID:34621329
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images. PMID:34580596
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
AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study. PMID:34492574
A Survey of Deep Learning for Lung Disease Detection on Medical Images: State-of-the-Art, Taxonomy, Issues and Future Directions. PMID:34460528
Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning. PMID:34413405
Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. PMID:34393277
Multi-label segmentation and detection of COVID-19 abnormalities from chest radiographs using deep learning. PMID:34393275
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application. PMID:34372262
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. PMID:34327625
Weighing features of lung and heart regions for thoracic disease classification. PMID:34112095
Exploiting Global Structure Information to Improve Medical Image Segmentation. PMID:34067205
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings. PMID:34067034
Application and Construction of Deep Learning Networks in Medical Imaging. PMID:34017931
An integrated framework with machine learning and radiomics for accurate and rapid early diagnosis of COVID-19 from Chest X-ray. PMID:33967406
Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning. PMID:33936577
LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction. PMID:33863917
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. PMID:33862337
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. PMID:33859385
GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest. PMID:33859222
Effects of data count and image scaling on Deep Learning training. PMID:33816963
Deep-chest: Multi-classification deep learning model for diagnosing COVID-19, pneumonia, and lung cancer chest diseases. PMID:33774272
2D Statistical Lung Shape Analysis Using Chest Radiographs: Modelling and Segmentation. PMID:33754214
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. PMID:33711739
Through the eyes of the expert: Evaluating holistic processing in architects through gaze-contingent viewing. PMID:33515205
COVID-19 detection and heatmap generation in chest x-ray images. PMID:33457446
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. PMID:33059612
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19. PMID:32834523
Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images. PMID:32815519
A robust convolutional neural network for lung nodule detection in the presence of foreign bodies. PMID:32737389
Artificial Intelligence-Based Diagnosis of Cardiac and Related Diseases. PMID:32209991
Contour-aware multi-label chest X-ray organ segmentation. PMID:32034633
Perceptual learning in the identification of lung cancer in chest radiographs. PMID:32016647
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports. PMID:31831740
A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis. PMID:31479448
SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images. PMID:31174100
Computer-Aided Diagnosis for Chest Radiographs in Intensive Care. PMID:31110895
Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods. PMID:31102064
Segmentation of lung fields from chest radiographs-a radiomic feature-based approach. PMID:30956884
Exploring the effect of context and expertise on attention: is attention shifted by information in medical images? PMID:30825115
A review on lung boundary detection in chest X-rays. PMID:30730032
An Appraisal of Lung Nodules Automatic Classification Algorithms for CT Images. PMID:30621101
Inter-Patient Modelling of 2D Lung Variations from Chest X-Ray Imaging via Fourier Descriptors. PMID:30317451
Detecting drug-resistant tuberculosis in chest radiographs. PMID:30284153
Verification of modified receiver-operating characteristic software using simulated rating data. PMID:30244314
Computer-aided detection in chest radiography based on artificial intelligence: a survey. PMID:30134902
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. PMID:29959539
Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder. PMID:29792208
Does Expectation of Abnormality Affect the Search Pattern of Radiologists When Looking for Pulmonary Nodules? PMID:27659798
Atlas-based rib-bone detection in chest X-rays. PMID:27156048
A parameterized logarithmic image processing method with Laplacian of Gaussian filtering for lung nodule enhancement in chest radiographs. PMID:27016368
Reporting instructions significantly impact false positive rates when reading chest radiographs. PMID:26780639
A novel bone suppression method that improves lung nodule detection : Suppressing dedicated bone shadows in radiographs while preserving the remaining signal. PMID:26337439
Potential clinical impact of advanced imaging and computer-aided diagnosis in chest radiology: importance of radiologist's role and successful observer study. PMID:25981309
Lung segmentation on standard and mobile chest radiographs using oriented Gaussian derivatives filter. PMID:25889188
Multi-scale Morphological Image Enhancement of Chest Radiographs by a Hybrid Scheme. PMID:25709942
A hybrid method based on fuzzy clustering and local region-based level set for segmentation of inhomogeneous medical images. PMID:24957392
[Detection of lung nodules. New opportunities in chest radiography]. PMID:24789046
Smart spotting of pulmonary TB cavities using CT images. PMID:24367393
Morphological image processing for quantitative shape analysis of biomedical structures: effective contrast enhancement. PMID:24121326
Evaluation of computer-aided detection and diagnosis systems. PMID:23927365
Automatic screening for tuberculosis in chest radiographs: a survey. PMID:23630656
Computerized detection of lung nodules by means of "virtual dual-energy" radiography. PMID:23193306
Fully automatic lung segmentation and rib suppression methods to improve nodule detection in chest radiographs. PMID:22606675
A simple method for identifying image orientation of chest radiographs by use of the center of gravity of the image. PMID:22539411
A computerized scheme for lung nodule detection in multiprojection chest radiography. PMID:22482621
Mathematical morphology-based approach to the enhancement of morphological features in medical images. PMID:22177340
Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification. PMID:21626918
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. PMID:21452728
Detectability of a lung nodule displayed on a liquid-crystal display monitor with different maximum luminance settings. PMID:20821096
Effects of dual-energy subtraction chest radiography on detection of small pulmonary nodules with varying attenuation: receiver operating characteristic analysis using a phantom study. PMID:20437132
CsI-detector-based dual-exposure dual energy in chest radiography for lung nodule detection: results of an international multicenter trial. PMID:18425520
Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves. PMID:17574132
Integration of temporal subtraction and nodule detection system for digital chest radiographs into picture archiving and communication system (PACS): four-year experience. PMID:17333415
Psychophysical evaluation of calibration curve for diagnostic LCD monitor. PMID:17186319
Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancer. PMID:16763934
Evaluation of the image quality of temporal subtraction images produced automatically in a PACS environment. PMID:16741663
The influence of liquid crystal display (LCD) monitors on observer performance for the detection of nodular lesions on chest radiographs. PMID:16284772
A visual query-by-example image database for chest CT images: potential role as a decision and educational support tool for radiologists. PMID:15937719
Clinical results of CsI-detector-based dual-exposure dual energy in chest radiography. PMID:12819915
Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database PubMed citations: 47.

47 articles citing: Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database

An Efficient Deep Learning Model to Detect COVID-19 Using Chest X-ray Images. PMID:35206201
U-shaped GAN for Semi-Supervised Learning and Unsupervised Domain Adaptation in High Resolution Chest Radiograph Segmentation. PMID:35096877
Segmentation and classification on chest radiography: a systematic survey. PMID:35035008
Bone Suppression on Chest Radiographs for Pulmonary Nodule Detection: Comparison between a Generative Adversarial Network and Dual-Energy Subtraction. PMID:34983100
Lung Segmentation using Active Shape Model to Detect the Disease from Chest Radiography. PMID:34904071
Deep Learning Approaches for Detecting COVID-19 From Chest X-Ray Images: A Survey. PMID:34786304
A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation. PMID:34647180
A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images. PMID:34580596
Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images. PMID:34460578
Multi-label segmentation and detection of COVID-19 abnormalities from chest radiographs using deep learning. PMID:34393275
Weighing features of lung and heart regions for thoracic disease classification. PMID:34112095
BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset. PMID:33862337
A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images. PMID:33859385
GraphCovidNet: A graph neural network based model for detecting COVID-19 from CT scans and X-rays of chest. PMID:33859222
2D Statistical Lung Shape Analysis Using Chest Radiographs: Modelling and Segmentation. PMID:33754214
Robust segmentation of lung in chest x-ray: applications in analysis of acute respiratory distress syndrome. PMID:33059612
Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19. PMID:32834523
A robust convolutional neural network for lung nodule detection in the presence of foreign bodies. PMID:32737389
Artificial Intelligence-Based Diagnosis of Cardiac and Related Diseases. PMID:32209991
Contour-aware multi-label chest X-ray organ segmentation. PMID:32034633
Computer-aided diagnosis for World Health Organization-defined chest radiograph primary-endpoint pneumonia in children. PMID:31930429
A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning. PMID:31425015
SDFN: Segmentation-based deep fusion network for thoracic disease classification in chest X-ray images. PMID:31174100
Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods. PMID:31102064
Segmentation of lung fields from chest radiographs-a radiomic feature-based approach. PMID:30956884
A review on lung boundary detection in chest X-rays. PMID:30730032
Inter-Patient Modelling of 2D Lung Variations from Chest X-Ray Imaging via Fourier Descriptors. PMID:30317451
Detecting drug-resistant tuberculosis in chest radiographs. PMID:30284153
Computer-aided detection in chest radiography based on artificial intelligence: a survey. PMID:30134902
Evaluation of the diagnostic accuracy of Computer-Aided Detection of tuberculosis on Chest radiography among private sector patients in Pakistan. PMID:30120345
Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening. PMID:29663963
Fuzzy-C-Means Clustering Based Segmentation and CNN-Classification for Accurate Segmentation of Lung Nodules. PMID:28749127
An evaluation of automated chest radiography reading software for tuberculosis screening among public- and private-sector patients. PMID:28529202
A Computer-Aided Detection System for Digital Chest Radiographs. PMID:27372536
Atlas-based rib-bone detection in chest X-rays. PMID:27156048
Unsupervised segmentation of lung fields in chest radiographs using multiresolution fractal feature vector and deformable models. PMID:26530048
Quantification of Pulmonary Inflammatory Processes Using Chest Radiography: Tuberculosis as the Motivating Application. PMID:26131814
Implementation Research to Inform the Use of Xpert MTB/RIF in Primary Health Care Facilities in High TB and HIV Settings in Resource Constrained Settings. PMID:26030301
Lung segmentation on standard and mobile chest radiographs using oriented Gaussian derivatives filter. PMID:25889188
Segmentation of tongue muscles from super-resolution magnetic resonance images. PMID:25487963
A hybrid method based on fuzzy clustering and local region-based level set for segmentation of inhomogeneous medical images. PMID:24957392
The sensitivity and specificity of using a computer aided diagnosis program for automatically scoring chest X-rays of presumptive TB patients compared with Xpert MTB/RIF in Lusaka Zambia. PMID:24705629
Automatic screening for tuberculosis in chest radiographs: a survey. PMID:23630656
Computer-aided diagnosis systems for lung cancer: challenges and methodologies. PMID:23431282
Fully automatic lung segmentation and rib suppression methods to improve nodule detection in chest radiographs. PMID:22606675
Automated lung segmentation in digital chest tomosynthesis. PMID:22320783
Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification. PMID:21626918

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