Image Features for Brain Lesion Segmentation Using Random Forests.
Oskar MaierMatthias WilmsHeinz HandelsPublished in: Brainles@MICCAI (2015)
Keyphrases
- random forests
- lesion segmentation
- image features
- multiple sclerosis
- random forest
- decision trees
- logistic regression
- brain tissue
- magnetic resonance images
- ensemble methods
- machine learning algorithms
- human brain
- brain mri
- mr images
- magnetic resonance
- computer vision
- brain images
- white matter
- clinical trials
- feature vectors
- decision tree ensembles
- image classification
- corpus callosum
- pairwise
- magnetic resonance imaging
- medical images
- disease progression
- prediction accuracy
- multi channel
- manual segmentation
- loss function
- benchmark datasets