Abnormality Segmentation and Classification of Multi-class Brain Tumor in MR Images Using Fuzzy Logic-Based Hybrid Kernel SVM.
A. JayachandranG. Kharmega SundararajPublished in: Int. J. Fuzzy Syst. (2015)
Keyphrases
- brain tumors
- multi class
- mr images
- support vector machine
- multi class classification
- multi class svm
- magnetic resonance
- support vector
- medical images
- magnetic resonance images
- brain mr images
- multi class classifier
- binary classifiers
- support vector machine svm
- accurate segmentation
- feature selection
- multi class boosting
- cost sensitive
- kernel function
- binary classification
- kernel logistic regression
- brain tissue
- large margin classifiers
- deformable registration
- svm classifier
- feature space
- mri images
- medical image analysis
- mri data
- pairwise
- brain images
- feature vectors
- machine learning
- kernel methods
- training data
- mr imaging
- text classification
- tumor growth
- feature extraction
- multiple kernel learning
- image data
- training set
- image classification
- medical imaging
- kernel machines
- base classifiers
- knn