Multimodal MRI Brain Tumor Image Segmentation Using Sparse Subspace Clustering Algorithm.
Li LiuLiang KuangYunfeng JiPublished in: Comput. Math. Methods Medicine (2020)
Keyphrases
- brain tumors
- image segmentation
- clustering algorithm
- magnetic resonance images
- subspace clustering
- mr images
- fuzzy c means
- mri images
- high dimensional
- medical imaging
- spectral clustering
- magnetic resonance
- brain tissue
- tumor segmentation
- mri scans
- regularized regression
- medical image analysis
- low rank representation
- magnetic resonance imaging
- low grade gliomas
- deformable registration
- deformable models
- medical images
- brain images
- tumor growth
- clustering method
- image processing
- normalized cut
- image analysis
- mri data
- principal component analysis
- low dimensional
- sparse representation
- brain tumor segmentation
- markov random field
- graph cuts
- dimensionality reduction
- image data
- feature space
- endoscopic images
- region growing
- high dimensional data
- low rank
- feature extraction
- magnetic resonance spectroscopy
- segmentation method
- information processing
- high quality
- decision making
- computer vision