Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification.
Jan EhrhardtMatthias WilmsHeinz HandelsDennis SäringPublished in: STACOM@MICCAI (2015)
Keyphrases
- automatic detection
- random forest
- decision trees
- fold cross validation
- feature set
- cancer classification
- random forests
- decision tree learning algorithms
- classification accuracy
- machine learning
- ensemble classifier
- feature space
- image classification
- lung disease
- classification models
- clinically relevant
- multi label
- ensemble methods
- machine learning methods
- feature vectors
- support vector
- base classifiers
- class labels
- training samples
- training data
- feature extraction
- feature selection