ISLES (SISS) Challenge 2015: Segmentation of Stroke Lesions Using Spatial Normalization, Random Forest Classification and Contextual Clustering.
Hanna-Leena HalmeAntti KorvenojaEero SalliPublished in: Brainles@MICCAI (2015)
Keyphrases
- random forest
- decision trees
- feature set
- classification accuracy
- skin lesion
- machine learning
- feature selection
- ensemble classifier
- data points
- image segmentation
- feature space
- image analysis
- image classification
- multi label
- feature vectors
- medical images
- segmentation algorithm
- region growing
- class labels
- segmentation method
- machine learning methods
- benchmark datasets
- ensemble methods
- high resolution
- graph cuts
- supervised learning
- multi class
- support vector machine