Breast cancer molecular subtype classification using deep features: preliminary results.
Zhe ZhuEhab AlbadawyAshirbani SahaJun ZhangMichael R. HarowiczMaciej A. MazurowskiPublished in: Medical Imaging: Computer-Aided Diagnosis (2018)
Keyphrases
- breast cancer
- benign and malignant
- mammogram images
- breast cancer diagnosis
- bladder cancer
- feature set
- classification accuracy
- feature vectors
- digital mammograms
- early detection
- diagnosis of breast cancer
- computer aided detection
- logistic regression
- computer aided diagnosis
- feature space
- lung nodules
- feature extraction
- cad systems
- microcalcification clusters
- roc analysis
- breast tissue
- roc curve
- high dimensionality
- mammographic images
- support vector
- survival analysis
- cancer datasets
- digitized mammograms
- pulmonary nodules
- x ray
- image features
- three dimensional
- decision trees
- dce mri
- cancer patients
- textural features
- machine learning
- receiver operating characteristic
- support vector machine svm
- outcome prediction
- feature selection