Mass Classification in Mammograms Using Selected Geometry and Texture Features, and a New SVM-Based Feature Selection Method.
Xiaoming LiuJinshan TangPublished in: IEEE Syst. J. (2014)
Keyphrases
- texture features
- feature vectors
- support vector machine svm
- support vector
- digitized mammograms
- textural features
- texture feature extraction
- support vector machine
- feature extraction
- gabor filtering
- svm classifier
- feature set
- classification method
- texture classification
- feature space
- classification accuracy
- feature selection
- texture analysis
- image classification
- pattern recognition
- texture images
- mammogram images
- gabor filters
- gray level
- training set
- color features
- machine learning
- color and texture features
- image features
- decision trees
- wavelet features
- texture information
- selected features
- local binary pattern
- shape features
- texture features are extracted
- data sets
- training data
- breast cancer
- wavelet transform
- knn
- object recognition
- rotation invariant
- distance measure
- kernel function
- bank of gabor filters