mini MIAS

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mini MIAS

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

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MiniMammographic Database

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

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The mini-MIAS database of mammograms

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

---

mini Mammographic Image Analysis Society database

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

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Other names: MiniMammographic Database, The mini-MIAS database of mammograms, mini Mammographic Image Analysis Society database

The Mammographic Image Analysis Society (MIAS) is an organisation of UK research groups interested in the understanding of mammograms and has generated a database of digital mammograms. Films taken from the UK National Breast Screening Programme have been digitised to 50 micron The database contains 322 digitised films. It also includes radiologist's "truth"-markings on the locations of any abnormalities that may be present. The database has been reduced to a 200 micron pixel edge and padded/clipped so that all the images are 1024x1024.

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Publications: (8)

Publications

More detailed information about this field from each metasource. ×

Measures of acutance and shape for classification of breast tumors
PMID: 9533580

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

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Gradient and texture analysis for the classification of mammographic masses
PMID: 11131493

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

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A framework for breast cancer classification using Multi-DCNNs
PMID: 33556893

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

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Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology
PMID: 29854359

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

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Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database
PMID: 9434310

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

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Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detection
PMID: 26609404

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

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A new approach for detecting abnormalities in mammograms using a computer-aided windowing system based on Otsu's method
PMID: 30931495

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

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https://www.repository.cam.ac.uk/handle/1810/250394

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

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• Measures of acutance and shape for classification of breast tumors PubMed citations: 30.

  30 articles citing: Measures of acutance and shape for classification of breast tumors

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  Chemotherapeutic nanomaterials in tumor boundary delineation: Prospects for effective tumor treatment. PMID:35755279

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  Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and Tumours for Microwave Imaging Diagnosis. PMID:34960354

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  Thermography as an Economical Alternative Modality to Mammography for Early Detection of Breast Cancer. PMID:34373775

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  Multi-marker quantitative radiomics for mass characterization in dedicated breast CT imaging. PMID:33232521

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  Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review. PMID:32300474

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  A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules. PMID:30803208

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  Fuzzy controller design for breast cancer treatment based on fractal dimension using breast thermograms. PMID:30774110

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  An Effective Two Way Classification of Breast Cancer Images: A Detailed Review. PMID:30583338

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  Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. PMID:30361935

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  Comprehensive analysis of lung cancer pathology images to discover tumor shape and boundary features that predict survival outcome. PMID:29991684

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  Diagnosing Breast Cancer with Microwave Technology: remaining challenges and potential solutions with machine learning. PMID:29783760

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  Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer. PMID:27678255

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  A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images. PMID:26738871

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  Compressive sampling for time critical microwave imaging applications. PMID:26609368

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  Dependence of Shape-Based Descriptors and Mass Segmentation Areas on Initial Contour Placement Using the Chan-Vese Method on Digital Mammograms. PMID:26379762

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  Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled Framework. PMID:25392680

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  A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. PMID:25086537

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  Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. PMID:24664267

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  Histological image classification using biologically interpretable shape-based features. PMID:23497380

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  Fractal analysis in a systems biology approach to cancer. PMID:21514387

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  Differentiation of urinary stone and vascular calcifications on non-contrast CT images: an initial experience using computer aided diagnosis. PMID:19190962

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  Quantitative analysis of lesion morphology and texture features for diagnostic prediction in breast MRI. PMID:19000868

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  Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers. PMID:18306000

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  POSTGRESQL-IE: an image-handling extension for PostgreSQL. PMID:18214614

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  Feature extraction from a signature based on the turning angle function for the classification of breast tumors. PMID:17972137

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  Classification of breast masses via nonlinear transformation of features based on a kernel matrix. PMID:17659369

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  Fractal analysis of contours of breast masses in mammograms. PMID:17021926

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  Classification of breast masses in mammograms using genetic programming and feature selection. PMID:16937210

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  Acutance, an objective measure of retinal nerve fibre image clarity. PMID:12598447

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  Boundary modelling and shape analysis methods for classification of mammographic masses. PMID:11094803
• Gradient and texture analysis for the classification of mammographic masses PubMed citations: 30.

  30 articles citing: Gradient and texture analysis for the classification of mammographic masses

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  Half-UNet: A Simplified U-Net Architecture for Medical Image Segmentation. PMID:35756960

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  Deep Learning Capabilities for the Categorization of Microcalcification. PMID:35206347

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  Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. PMID:33493108

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  Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset. PMID:33309994

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  Methods Used in Computer-Aided Diagnosis for Breast Cancer Detection Using Mammograms: A Review. PMID:32300474

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  Multiple Sclerosis Lesions Segmentation in Magnetic Resonance Imaging using Ensemble Support Vector Machine (ESVM). PMID:32039101

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  An investigation of CNN models for differentiating malignant from benign lesions using small pathologically proven datasets. PMID:31454710

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  Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network. PMID:30226841

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  A curated mammography data set for use in computer-aided detection and diagnosis research. PMID:29257132

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  Radiomics: a new application from established techniques. PMID:28042608

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  Computer-aided classification of mammographic masses using visually sensitive image features. PMID:27911353

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  Assessment of a Four-View Mammographic Image Feature Based Fusion Model to Predict Near-Term Breast Cancer Risk. PMID:25851469

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  A new and fast image feature selection method for developing an optimal mammographic mass detection scheme. PMID:25086537

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  Reduction of false-positive recalls using a computerized mammographic image feature analysis scheme. PMID:25029964

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  Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model. PMID:24664267

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  Automated diagnosis of mammogram images of breast cancer using discrete wavelet transform and spherical wavelet transform features: a comparative study. PMID:24000991

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  Quantifying tumour heterogeneity with CT. PMID:23545171

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  Mass segmentation using a combined method for cancer detection. PMID:22784625

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  Heterogeneity of focal breast lesions and surrounding tissue assessed by mammographic texture analysis: preliminary evidence of an association with tumor invasion and estrogen receptor status. PMID:22649761

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  Characterizing mammographic images by using generic texture features. PMID:22490545

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  An improved decision support system for detection of lesions in mammograms using Differential Evolution Optimized Wavelet Neural Network. PMID:22173907

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  Breast masses detection using phase portrait analysis and fuzzy inference systems. PMID:21987360

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  Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. PMID:20161266

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  Classification of hematologic malignancies using texton signatures. PMID:19890460

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  Effect of pixel resolution on texture features of breast masses in mammograms. PMID:19756865

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  Multi-modality CADx: ROC study of the effect on radiologists' accuracy in characterizing breast masses on mammograms and 3D ultrasound images. PMID:19375953

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  Classification of breast masses using selected shape, edge-sharpness, and texture features with linear and kernel-based classifiers. PMID:18306000

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  Classification of breast masses via nonlinear transformation of features based on a kernel matrix. PMID:17659369

  ---

  Fractal analysis of contours of breast masses in mammograms. PMID:17021926

  ---

  Classification of breast masses in mammograms using genetic programming and feature selection. PMID:16937210
• A framework for breast cancer classification using Multi-DCNNs PubMed citations: 12.

  12 articles citing: A framework for breast cancer classification using Multi-DCNNs

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  An integrated framework for breast mass classification and diagnosis using stacked ensemble of residual neural networks. PMID:35851592

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  A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms. PMID:35808433

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  An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm. PMID:35698722

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  A computer-aided diagnostic framework for coronavirus diagnosis using texture-based radiomics images. PMID:35433024

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  Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach. PMID:35085352

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  ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration. PMID:35026574

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  A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis. PMID:34885225

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  DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity. PMID:34829380

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  Intelligent Dermatologist Tool for Classifying Multiple Skin Cancer Subtypes by Incorporating Manifold Radiomics Features Categories. PMID:34621146

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  An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning. PMID:34571736

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  Histo-CADx: duo cascaded fusion stages for breast cancer diagnosis from histopathological images. PMID:33987459

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  MB-AI-His: Histopathological Diagnosis of Pediatric Medulloblastoma and its Subtypes via AI. PMID:33672752
• Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology PubMed citations: 4.

  4 articles citing: Breast Mass Detection in Digital Mammogram Based on Gestalt Psychology

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  A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram. PMID:35396565

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  Context-Aware Superpixel and Bilateral Entropy-Image Coherence Induces Less Entropy. PMID:33285796

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  Deep Convolutional Neural Networks-Based Automatic Breast Segmentation and Mass Detection in DCE-MRI. PMID:32454879

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  Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms. PMID:31814951
• Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database PubMed citations: 4.

  4 articles citing: Automated detection of clustered microcalcifications on mammograms: CAD system application to MIAS database

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  Radial-searching contour extraction method based on a modified active contour model for mammographic masses. PMID:20821141

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  CAD for mammography: the technique, results, current role and further developments. PMID:16416275

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  Multiplexed wavelet transform technique for detection of microcalcification in digitized mammograms. PMID:15692872

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  Comparison of mammographically guided breast biopsy techniques. PMID:10235520
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Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detection PubMed citations: 2.
2 articles citing: Classification of mammogram using two-dimensional discrete orthonormal S-transform for breast cancer detection
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Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics. PMID:31214791
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Involvement of Machine Learning for Breast Cancer Image Classification: A Survey. PMID:29463985
A new approach for detecting abnormalities in mammograms using a computer-aided windowing system based on Otsu's method PubMed citations: 1.
1 articles citing: A new approach for detecting abnormalities in mammograms using a computer-aided windowing system based on Otsu's method
×
Acetylcholine Regulates Pulmonary Pathology During Viral Infection and Recovery. PMID:33365281
https://www.repository.cam.ac.uk/handle/1810/250394
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