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Brain Tumor Segmantation Using Random Forest Trained on Iteratively Selected Patients.
Abdelrahman Ellwaa
Ahmed Hussein
Essam AlNaggar
Mahmoud Zidan
Michael Zaki
Mohamed A. Ismail
Nagia M. Ghanem
Published in:
BrainLes@MICCAI (2016)
Keyphrases
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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