Toward Efficient Segmentation of Brain Tumors Based on Support Vector Machine Classifier Through Optimized RBF Kernel Parameters and Optimal Texture Features.
Ahmed KharratMohamed AbidPublished in: Int. J. Cogn. Informatics Nat. Intell. (2014)
Keyphrases
- texture features
- brain tumors
- support vector machine classifier
- texture analysis
- texture descriptors
- color features
- magnetic resonance images
- texture classification
- texture information
- gabor filters
- feature extraction
- image features
- local binary pattern
- image segmentation
- mr images
- gray level
- magnetic resonance
- rotation invariant
- feature vectors
- texture images
- support vector machine
- svm classifier
- medical images
- multiscale
- distance measure
- neural network
- support vector machine svm
- graph cuts
- edge detection
- image analysis
- support vector