Deep random forest-based learning transfer to SVM for brain tumor segmentation.
Samya AmiriIslem RekikMohamed Ali MahjoubPublished in: ATSIP (2016)
Keyphrases
- random forest
- learning transfer
- brain tumor segmentation
- fold cross validation
- support vector machine svm
- support vector
- random forests
- decision trees
- feature set
- ensemble classifier
- support vector machine
- feature selection
- magnetic resonance images
- svm classifier
- training data
- human resources
- knn
- kernel function
- feature vectors
- multi class
- ensemble methods
- feature space
- decision tree learning algorithms
- base classifiers
- image classification
- multi label
- classification accuracy
- mr images
- training set
- benchmark datasets
- k nearest neighbor
- knowledge level
- text classification
- image processing
- machine learning