Biomedical Imaging Modality Classification Using Bags of Visual and Textual Terms with Extremely Randomized Trees: Report of ImageCLEF 2010 Experiments.
Raphaël MaréeOlivier SternPierre GeurtsPublished in: CLEF (Notebook Papers/LABs/Workshops) (2010)
Keyphrases
- randomized trees
- imaging modalities
- multiple instance learning
- feature vectors
- medical images
- visual information
- supervised learning
- classification accuracy
- feature extraction
- image classification
- decision trees
- pattern recognition
- feature set
- medical imaging
- visual features
- feature space
- benchmark datasets
- multiscale
- random forests
- support vector machine svm
- image segmentation
- low contrast
- medical image analysis
- feature selection
- multi class
- low level