Multi-source Information Gain for Random Forest: An Application to CT Image Prediction from MRI Data.
Tri HuynhYaozong GaoJiayin KangLi WangPei ZhangDinggang ShenPublished in: MLMI (2015)
Keyphrases
- random forest
- information gain
- mri data
- multi source
- decision trees
- ct images
- magnetic resonance imaging
- medical images
- fully automatic
- data fusion
- medical imaging
- mr images
- information fusion
- ensemble methods
- prediction accuracy
- magnetic resonance images
- text categorization
- ensemble classifier
- feature selection
- feature set
- naive bayes
- white matter
- multi label
- data integration
- mutual information
- data sources
- base classifiers
- logistic regression
- training data
- data sets
- support vector
- machine learning
- text classification
- natural language processing
- multi class
- data analysis