Fig. 6

Feature ranking and its influence on classification performance. a Mean ROC-AUC using an increasing number of top-ranked features according to GI and mRMR ranking. b GI ranking showing the top-ranked classification features of each feature-group, computed from manual annotations (green) and automatic segmentations (blue)