Deep learning for identifying radiogenomic associations in breast cancer.
Zhe ZhuEhab AlbadawyAshirbani SahaJun ZhangMichael R. HarowiczMaciej A. MazurowskiPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- breast cancer
- deep learning
- breast cancer diagnosis
- diagnosis of breast cancer
- computer aided diagnosis
- logistic regression
- unsupervised learning
- machine learning
- mammogram images
- mental models
- weakly supervised
- bladder cancer
- survival analysis
- decision support
- supervised learning
- association rules
- pattern recognition
- breast cancer patients
- computer aided
- breast tissue
- decision support system
- decision making
- feature selection