Identification of breast cancer by classification of proteome patterns.
Syng-Yup OhnSung-Do ChiChan HeoPublished in: Int. J. Model. Simul. Sci. Comput. (2016)
Keyphrases
- breast cancer
- breast cancer diagnosis
- bladder cancer
- computer aided detection
- mammogram images
- microcalcification clusters
- roc analysis
- cancer datasets
- diagnosis of breast cancer
- logistic regression
- classification accuracy
- benign and malignant
- computer aided diagnosis
- early detection
- breast cancer patients
- support vector
- data mining and statistical
- breast tissue
- lung nodules
- decision trees
- computer aided
- feature vectors
- feature extraction
- cad systems
- machine learning
- outcome prediction
- survival analysis