Deep learning of sub-regional breast parenchyma in mammograms for localized breast cancer risk prediction.
Giacomo NebbiaAly A. MohamedRuimei ChaiBingjie ZhengMargarita L. ZuleyShandong WuPublished in: Medical Imaging: Computer-Aided Diagnosis (2019)
Keyphrases
- breast tissue
- breast cancer
- deep learning
- mammographic images
- computer aided diagnosis
- survival analysis
- breast cancer diagnosis
- bladder cancer
- mammogram images
- unsupervised learning
- logistic regression
- benign and malignant
- computer aided detection
- machine learning
- diagnosis of breast cancer
- cad systems
- breast cancer detection
- digital mammography
- tissue classification
- early detection of breast cancer
- discriminating power
- dce mri
- cancer treatment
- textural features
- cancer patients
- weakly supervised
- mental models
- digitized mammograms
- image segmentation
- medical imaging
- dimensionality reduction
- decision making