A Brain MR Images Segmentation and Bias Correction Model Based on Students t-Mixture Model.
Yunjie ChenQing XuShenghua GuPublished in: CCCV (1) (2017)
Keyphrases
- mixture model
- brain mr images
- intensity inhomogeneity
- bias correction
- mr images
- quantitative evaluation
- medical image analysis
- medical imaging
- generative model
- em algorithm
- probabilistic model
- level set
- model based segmentation
- expectation maximization
- model selection
- unsupervised learning
- maximum likelihood
- medical images
- magnetic resonance
- brain tissue
- language model
- cortical surface
- magnetic resonance images
- image intensity
- brain tumors
- intensity information
- deformable models
- registration accuracy
- statistical shape model
- energy functional
- parameter space
- decision trees
- segmentation algorithm
- ground truth
- image data
- image analysis
- image segmentation