3D variational brain tumor segmentation using Dirichlet priors on a clustered feature set.
Karteek PopuriDana CobzasAlbert MurthaMartin JägersandPublished in: Int. J. Comput. Assist. Radiol. Surg. (2012)
Keyphrases
- feature set
- brain tumor segmentation
- dirichlet prior
- magnetic resonance images
- feature selection
- random forest
- feature vectors
- boundary conditions
- image segmentation
- feature extraction
- classification accuracy
- mixture model
- bayesian framework
- feature space
- extracted features
- selected features
- texture features
- dirichlet distribution
- language model
- prior distribution
- white matter
- feature extraction and selection
- mr images
- data sets
- em algorithm
- computer vision
- machine learning
- data mining
- feature selection algorithms
- feature subset
- simulated annealing