Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation.
Sérgio PereiraRaphael MeierRichard McKinleyRoland WiestVictor AlvesCarlos A. SilvaMauricio ReyesPublished in: Medical Image Anal. (2018)
Keyphrases
- text categorization
- automatically extracted
- random forest
- multi label
- feature selection
- feature set
- machine learning
- semi supervised learning
- decision trees
- machine learning methods
- lesion segmentation
- image classification
- machine learning algorithms
- prediction accuracy
- feature vectors
- feature extraction
- computer vision
- clinical trials
- labeled data
- support vector machine
- learning algorithm