Cancer statistics, 2023
10.3322/caac.21763 · 2023
Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women
10.1002/cncr.32859 · 2020
Breast Cancer Overview: Causes, Symptoms, Signs, Stages & Types
Kept as external metadata until matched
Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology
10.1088/0031-9155/51/13/r02 · 2006
Breast Cancer Screening, Mammography, and Other Modalities
10.1097/grf.0000000000000246 · 2016
Fusion of MLO and CC View Binary Patterns to Improve the Performance of Breast Cancer Diagnosis
10.2174/1573405614666180104162408
Effect of artificial intelligence-based triaging of breast cancer screening mammograms on cancer detection and radiologist workload: a retrospective simulation study
10.1016/s2589-7500(20)30185-0 · 2020
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype
10.1038/s41523-018-0079-1 · 2018
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
10.1016/j.patrec.2020.03.011 · 2020
Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features
10.1016/j.irbm.2020.05.005 · 2021
Deep semantic segmentation of natural and medical images: a review
10.1007/s10462-020-09854-1 · 2021
A Hybrid Computer-aided-diagnosis System for Prediction of Breast Cancer Recurrence (HPBCR) Using Optimized Ensemble Learning
10.1016/j.csbj.2016.11.004 · 2017
Breast masses in mammography classification with local contour features
10.1186/s12938-017-0332-0 · 2017
PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification
10.1007/978-3-319-21212-8_7 · 2016
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
10.1016/j.cmpb.2017.12.012 · 2018
Overview of deep learning in medical imaging
10.1007/s12194-017-0406-5 · 2017
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology
2017
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
10.1109/jbhi.2017.2731873 · 2018
High-Resolution Representations for Labeling Pixels and Regions
Kept as external metadata until matched
Learning Hierarchical Features for Scene Labeling
10.1109/tpami.2012.231 · 2013
Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms
10.1049/iet-ipr.2018.5953 · 2020
Intelligent breast cancer prediction empowered with fusion and deep learning
2021
Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
10.2196/14464 · 2019
Detection of abnormalities in mammograms using deep features
10.1007/s12652-019-01639-x · 2023
Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
10.1016/j.cmpb.2020.105361 · 2020
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
10.1016/j.patrec.2019.03.022 · 2019
Automated mammographic mass detection using deformable convolution and multiscale features
10.1007/s11517-020-02170-4 · 2020
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network
2017
3DCNN: Three-Layers Deep Convolutional Neural Network Architecture for Breast Cancer Detection using Clinical Image Data
2020
Addressing architectural distortion in mammogram using AlexNet and support vector machine
10.1016/j.imu.2021.100551 · 2021
Automated Breast Cancer Detection Models Based on Transfer Learning
10.3390/s22030876 · 2022
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
2023
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
2023
Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation
2019
Breast cancer: One-stage automated detection, segmentation, and classification of digital mammograms using UNet model based-semantic segmentation
10.1016/j.bspc.2021.102481 · 2021
Unresolved referenced work
2018
Automated early breast cancer detection and classification system
10.1007/s11760-021-01882-w · 2021
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
10.1109/access.2021.3079204 · 2021
Understanding YOLOv7 Neural Network
Kept as external metadata until matched
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network
2017
