Cerebrospinal fluid image segmentation using spatial fuzzy clustering method with improved evolutionary Expectation Maximization.
Afnizanfaizal AbdullahAkihiro HirayamaSatoshi YatsushiroMitsunori MatsumaeKagayaki KurodaPublished in: EMBC (2013)
Keyphrases
- expectation maximization
- image segmentation
- fuzzy clustering method
- fuzzy c means
- em algorithm
- fuzzy c means algorithm
- fuzzy clustering
- cerebrospinal fluid
- mixture model
- maximum likelihood
- white matter
- gaussian mixture model
- unsupervised learning
- markov random field
- clustering method
- k means
- density estimation
- segmented images
- mr images
- genetic algorithm
- segmentation algorithm
- active contours
- graph cuts
- deformable models
- probability density function
- mr brain images
- image processing
- medical imaging
- region growing
- brain images
- fuzzy sets
- spatial patterns
- pattern recognition
- brain mr images
- feature selection