MRI brain tumor segmentation based on texture features and kernel sparse coding.
Jijun TongYingjie ZhaoPeng ZhangLingyu ChenLurong JiangPublished in: Biomed. Signal Process. Control. (2019)
Keyphrases
- brain tumor segmentation
- sparse coding
- texture features
- feature space
- magnetic resonance images
- feature vectors
- image classification
- sparse representation
- image features
- natural images
- feature extraction
- gabor filters
- linear combination
- texture analysis
- discriminative power
- unsupervised learning
- gray level
- kernel function
- image representation
- feature set
- generative model
- color features
- texture images
- distance measure
- kernel methods
- image patches
- visual words
- support vector
- multiscale
- brain tumors
- principal component analysis
- high dimensional
- local binary pattern
- feature selection
- magnetic resonance imaging
- classification accuracy
- bag of words
- mr images
- pattern recognition
- dimensionality reduction
- machine learning
- image analysis
- medical images
- image processing