A classifier with clustered sub classes for the classification of suspicious areas in digital mammograms.
Peter McLeodBrijesh K. VermaPublished in: IJCNN (2010)
Keyphrases
- digital mammograms
- class labels
- clustered microcalcifications
- classification method
- binary classifiers
- discriminant functions
- classification scheme
- classification algorithm
- classification process
- svm classifier
- support vector machine
- support vector
- decision trees
- feature selection
- classification rate
- training samples
- feature space
- mammographic images
- receiver operating characteristic
- training set
- decision boundary
- binary classification problems
- roc curve
- classification accuracy
- training data
- classifier combination
- class conditional densities
- benign and malignant
- multi class
- single class
- feature set
- support vector machine svm
- digital mammography
- nearest neighbor
- benchmark datasets
- image analysis
- supervised learning
- weak classifiers
- feature vectors