Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models.
Zhuowen TuKatherine NarrPiotr DollárIvo D. DinovPaul M. ThompsonArthur W. TogaPublished in: IEEE Trans. Medical Imaging (2008)
Keyphrases
- generative model
- anatomical structures
- discriminative models
- medical images
- discriminative learning
- generative and discriminative models
- partial volume effects
- brain structures
- discriminative methods
- medical imaging
- semi supervised
- probabilistic model
- fiber bundles
- shape model
- discriminatively trained
- shape prior
- semi supervised learning
- bayesian framework
- white matter
- magnetic resonance imaging
- fisher kernel
- magnetic resonance images
- segmentation algorithm
- prior knowledge
- image segmentation
- conditional random fields
- segmentation method
- em algorithm
- naive bayes models
- learning tasks
- object categories
- deformable models
- energy function
- hierarchical hidden markov models
- robust classification
- maximum entropy principle
- mr images
- partial volume
- shape analysis
- machine learning
- higher order
- level set
- unsupervised learning
- pairwise
- pattern recognition
- feature extraction
- language model