Performance analysis of support vector machines classifiers in breast cancer mammography recognition.
Ahmad Taher AzarShaimaa Ahmed El-SaidPublished in: Neural Comput. Appl. (2014)
Keyphrases
- breast cancer
- support vector
- logistic regression
- large margin classifiers
- early detection
- roc analysis
- diagnosis of breast cancer
- breast cancer diagnosis
- computer aided diagnosis
- recognition rate
- cancer datasets
- recognition accuracy
- naive bayes
- svm classifier
- computer aided detection
- feature selection
- support vector machine
- classification accuracy
- loss function
- early detection of breast cancer
- decision trees
- cad systems
- survival analysis
- cancer patients
- mammogram images
- breast cancer detection
- digital mammography
- training data
- feature extraction
- computer aided
- text categorization
- breast tissue
- medical images
- feature set
- training set