Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.
Maxine TanJiantao PuBin ZhengPublished in: Int. J. Comput. Assist. Radiol. Surg. (2014)
Keyphrases
- sequential forward
- feature selection
- support vector machine
- mutual information
- feature subset selection
- feature subset
- feature selection algorithms
- classification accuracy
- svm classifier
- independent components analysis
- support vector
- support vector machine svm
- text classification
- machine learning
- optimization problems
- feature set
- feature space
- selection algorithm
- classification method
- optimization algorithm
- feature extraction
- k nearest neighbor
- dimensionality reduction
- digitized mammograms
- pattern recognition
- neural network
- classification models
- kernel methods
- selected features
- image registration
- discriminant analysis
- image classification
- optimization method
- training data
- statistical independence
- mammogram images
- classification algorithm