Fig. 6From: Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI featuresFeature 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)Back to article page