RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields.
Gaoxiang ChenQun LiFuqian ShiIslem RekikZhifang PanPublished in: NeuroImage (2020)
Keyphrases
- random forests
- conditional random fields
- lesion segmentation
- multiple sclerosis
- regression trees
- random forest
- graphical models
- probabilistic model
- decision trees
- machine learning algorithms
- hidden markov models
- logistic regression
- ensemble methods
- higher order
- random fields
- markov random field
- generative model
- pairwise
- magnetic resonance images
- human brain
- brain tissue
- information extraction
- white matter
- feature set
- magnetic resonance imaging
- computer aided
- prior knowledge
- mr images
- svm classifier
- training set
- image features
- corpus callosum
- feature extraction
- information retrieval