Weighted Radial Basis Function Kernel-Based Support Vector Machines for Multispectral Magnetic Resonance Brain Image Classification.
Clayton Chi-Chang ChenShih-Yu ChenHsian-Min ChenBor-Hung LinYen Chieh OuyangJyh Wen ChaiChing-Wen YangSan-Kan LeeChein-I ChangPublished in: ICS (2014)
Keyphrases
- multispectral
- magnetic resonance
- radial basis function
- support vector
- image classification
- image data
- brain images
- rbf kernel
- mr images
- grey matter
- brain tumors
- rbf neural network
- support vector machine
- remotely sensed data
- medical images
- rbf network
- brain tissue
- kernel methods
- remote sensing
- image registration
- svm classifier
- kernel function
- image analysis
- multi band
- multispectral images
- neural network
- magnetic resonance images
- feature selection
- feature extraction
- gray matter
- land cover
- image features
- cross validation
- multi label
- hyperspectral
- kernel machines
- loss function
- mr imaging
- support vectors
- sequential minimal optimization
- human brain
- artificial neural networks
- ls svm
- mri data
- basis functions
- input space
- magnetic resonance imaging
- genetic algorithm
- support vector machine svm