Research graph
References from Deep learning empowered breast cancer diagnosis: Advancements in detection and classification. Local targets link to admitted publications; unresolved targets remain external evidence.
Cancer statistics, 2023
10.3322/caac.21763 · 2023 · External reference
Mammography screening reduces rates of advanced and fatal breast cancers: Results in 549,091 women
10.1002/cncr.32859 · 2020 · External reference
Breast Cancer Overview: Causes, Symptoms, Signs, Stages & Types
External reference
Diagnostic imaging over the last 50 years: research and development in medical imaging science and technology
10.1088/0031-9155/51/13/r02 · 2006 · External reference
Breast Cancer Screening, Mammography, and Other Modalities
10.1097/grf.0000000000000246 · 2016 · External reference
Fusion of MLO and CC View Binary Patterns to Improve the Performance of Breast Cancer Diagnosis
10.2174/1573405614666180104162408 · External reference
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 · External reference
Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype
10.1038/s41523-018-0079-1 · 2018 · External reference
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
10.1016/j.patrec.2020.03.011 · 2020 · External reference
Machine Learning Based Computer Aided Diagnosis of Breast Cancer Utilizing Anthropometric and Clinical Features
10.1016/j.irbm.2020.05.005 · 2021 · External reference
Deep semantic segmentation of natural and medical images: a review
10.1007/s10462-020-09854-1 · 2021 · External reference
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 · External reference
Breast masses in mammography classification with local contour features
10.1186/s12938-017-0332-0 · 2017 · External reference
PCA-PNN and PCA-SVM Based CAD Systems for Breast Density Classification
10.1007/978-3-319-21212-8_7 · 2016 · External reference
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review
10.1016/j.cmpb.2017.12.012 · 2018 · External reference
Overview of deep learning in medical imaging
10.1007/s12194-017-0406-5 · 2017 · External reference
A new approach to develop computer-aided diagnosis scheme of breast mass classification using deep learning technology
2017 · External reference
Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks
10.1109/jbhi.2017.2731873 · 2018 · External reference
High-Resolution Representations for Labeling Pixels and Regions
External reference
Learning Hierarchical Features for Scene Labeling
10.1109/tpami.2012.231 · 2013 · External reference
Fully automated scheme for computer-aided detection and breast cancer diagnosis using digitised mammograms
10.1049/iet-ipr.2018.5953 · 2020 · External reference
Intelligent breast cancer prediction empowered with fusion and deep learning
2021 · External reference
Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
10.2196/14464 · 2019 · External reference
Detection of abnormalities in mammograms using deep features
10.1007/s12652-019-01639-x · 2023 · External reference
Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
10.1016/j.cmpb.2020.105361 · 2020 · External reference
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 · External reference
Automated mammographic mass detection using deformable convolution and multiscale features
10.1007/s11517-020-02170-4 · 2020 · External reference
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network
2017 · External reference
3DCNN: Three-Layers Deep Convolutional Neural Network Architecture for Breast Cancer Detection using Clinical Image Data
2020 · External reference
Addressing architectural distortion in mammogram using AlexNet and support vector machine
10.1016/j.imu.2021.100551 · 2021 · External reference
Automated Breast Cancer Detection Models Based on Transfer Learning
10.3390/s22030876 · 2022 · External reference
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
2023 · External reference
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
2023 · External reference
Fully Convolutional DenseNet with Multiscale Context for Automated Breast Tumor Segmentation
2019 · External reference
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 · External reference
Unresolved reference
2018 · External reference
Automated early breast cancer detection and classification system
10.1007/s11760-021-01882-w · 2021 · External reference
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
10.1109/access.2021.3079204 · 2021 · External reference
Understanding YOLOv7 Neural Network
External reference
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network
2017 · External reference
Automatic mass detection in mammograms using deep convolutional neural networks
10.1117/1.jmi.6.3.031409 · 2019 · External reference
Automated mammographic mass detection using deformable convolution and multiscale features
10.1007/s11517-020-02170-4 · 2020 · External reference
Addressing architectural distortion in mammogram using AlexNet and support vector machine
10.1016/j.imu.2021.100551 · 2021 · External reference
Automated Breast Cancer Detection Models Based on Transfer Learning
10.3390/s22030876 · 2022 · External reference
Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
10.3389/fgene.2022.1097207 · 2023 · External reference
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
10.3390/diagnostics13030346 · 2023 · External reference
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
10.1038/s41598-023-29875-4 · 2023 · External reference
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 · External reference
Computer‐aided diagnosis of breast ultrasound images using ensemble learning from convolutional neural networks
10.1016/j.cmpb.2020.105361 · 2020 · External reference
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
10.1109/access.2021.3079204 · 2021 · External reference
Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Networks
10.3390/cancers13040661 · 2021 · External reference
Automated early breast cancer detection and classification system
10.1007/s11760-021-01882-w · 2021 · External reference
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
10.1155/2023/7717712 · 2023 · External reference
