Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients.
Abdelrahman EllwaaAhmed HusseinEssam AlNaggarMahmoud ZidanMichael ZakiMohamed A. IsmailNagia M. GhanemPublished in: BrainLes@MICCAI (2016)
Keyphrases
- random forest
- brain tumors
- low grade gliomas
- tumor growth
- random forests
- decision trees
- magnetic resonance images
- mr images
- ensemble methods
- feature set
- ensemble learning
- training set
- magnetic resonance
- cancer classification
- fold cross validation
- multi label
- brain images
- brain tissue
- text classification
- image analysis
- medical image analysis
- neural network
- training data
- data sets