A Hybrid Approach using Set Theory (HAST) for Magnetic Resonance (MR) Image Segmentation.
Jiang LiuChee Kin BanBoon Pin TanBorys ShuterShih-Chang WangPublished in: PRIS (2006)
Keyphrases
- magnetic resonance
- set theory
- brain image segmentation
- image segmentation
- mr images
- medical images
- image registration
- fuzzy set theory
- partial order
- first order logic
- mathematical morphology
- brain images
- image data
- image analysis
- mr brain images
- deformable models
- rough set theory
- mr imaging
- fuzzy sets
- rough sets
- soft tissue
- multiscale
- medical imaging
- brain tumors
- image volumes
- computer vision
- region growing
- image processing
- gray level
- machine learning
- grey matter
- multiple sclerosis
- model based segmentation
- magnetic resonance imaging
- segmentation algorithm
- probability theory
- contrast enhanced
- expert systems
- level set
- prostate segmentation
- neural network
- image slices
- segmentation method