INBreast

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INBreast

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

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Database of Digital Mammography

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

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Other names: Database of Digital Mammography

The INbreast database is a mammographic database, with images acquired at a Breast Centre, located in a Hospital de São João, Breast Centre, Porto, Portugal. INbreast has a total of 115 cases (410 images) of which 90 cases are from women with both breasts (4 images per case) and 25 cases are from mastectomy patients (2 images per case). Several types of lesions (masses, calcifications, asymmetries, and distortions) are included. Accurate contours made by specialists are also provided in XML format.

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INbreast: toward a full-field digital mammographic database
PMID: 22078258

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

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• INbreast: toward a full-field digital mammographic database PubMed citations: 49.

  49 articles citing: INbreast: toward a full-field digital mammographic database

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  Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification. PMID:35267587

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  A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica. PMID:35239108

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  Breast Cancer Mammograms Classification Using Deep Neural Network and Entropy-Controlled Whale Optimization Algorithm. PMID:35204646

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  PeMNet for Pectoral Muscle Segmentation. PMID:35053131

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  High Precision Mammography Lesion Identification From Imprecise Medical Annotations. PMID:34977563

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

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  Connected-UNets: a deep learning architecture for breast mass segmentation. PMID:34857755

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  Breast Mass Classification Using Diverse Contextual Information and Convolutional Neural Network. PMID:34821634

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  Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions. PMID:34754327

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  Novel Texture Feature Descriptors Based on Multi-Fractal Analysis and LBP for Classifying Breast Density in Mammograms. PMID:34677291

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  Global processing provides malignancy evidence complementary to the information captured by humans or machines following detailed mammogram inspection. PMID:34635726

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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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  A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms. PMID:34564116

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  Study on Data Partition for Delimitation of Masses in Mammography. PMID:34564100

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  Deep Learning in Selected Cancers' Image Analysis-A Survey. PMID:34460565

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  Automatic breast mass detection in mammograms using density of wavelet coefficients and a patch-based CNN. PMID:34374941

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  Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. PMID:34300498

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  Fproi-GAN with Fused Regional Features for the Synthesis of High-Quality Paired Medical Images. PMID:34007428

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  Implementing Multilabeling, ADASYN, and ReliefF Techniques for Classification of Breast Cancer Diagnostic through Machine Learning: Efficient Computer-Aided Diagnostic System. PMID:33859807

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  Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations. PMID:33772149

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  A Novel Algorithm for Breast Mass Classification in Digital Mammography Based on Feature Fusion. PMID:33425311

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  Convolutional neural network for automated mass segmentation in mammography. PMID:33297952

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  Fully Automated Breast Density Segmentation and Classification Using Deep Learning. PMID:33238512

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  Whole mammographic mass segmentation using attention mechanism and multiscale pooling adversarial network. PMID:33102621

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  Detecting Asymmetric Patterns and Localizing Cancers on Mammograms. PMID:33073255

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  A Novel Solution Based on Scale Invariant Feature Transform Descriptors and Deep Learning for the Detection of Suspicious Regions in Mammogram Images. PMID:33062608

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  Integrative blockwise sparse analysis for tissue characterization and classification. PMID:32828443

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  Spatially localized sparse representations for breast lesion characterization. PMID:32768050

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  Dataset of breast mammography images with masses. PMID:32642525

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  A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms. PMID:32462017

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  Artificial intelligence and convolution neural networks assessing mammographic images: a narrative literature review. PMID:32134206

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  CAD and AI for breast cancer-recent development and challenges. PMID:31742424

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  Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening. PMID:31603772

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  Deep Learning to Improve Breast Cancer Detection on Screening Mammography. PMID:31467326

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  Deep convolutional neural networks for mammography: advances, challenges and applications. PMID:31167642

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  Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges. PMID:31144149

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  A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis. PMID:31019547

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  Breast Microcalcification Diagnosis Using Deep Convolutional Neural Network from Digital Mammograms. PMID:30944574

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  Can Contrast-Enhanced Ultrasound Increase or Predict the Success Rate of Testicular Sperm Aspiration in Patients With Azoospermia? PMID:30807223

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  Data Engineering for Machine Learning in Women's Imaging and Beyond. PMID:30779668

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  Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. PMID:30465142

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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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  Automatic Pectoral Muscle Region Segmentation in Mammograms Using Genetic Algorithm and Morphological Selection. PMID:29582242

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  Detecting and classifying lesions in mammograms with Deep Learning. PMID:29545529

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  Deep Learning and Its Applications in Biomedicine. PMID:29522900

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  European radiographers' challenges from mammography education and clinical practice - an integrative review. PMID:28303552

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  A Review on Automatic Mammographic Density and Parenchymal Segmentation. PMID:26171249

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  Developing a comprehensive database management system for organization and evaluation of mammography datasets. PMID:25368510

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  An evaluation of image descriptors combined with clinical data for breast cancer diagnosis. PMID:23580025