Weakly supervised classification of medical images


A weakly supervised image classification framework is presented in this paper. Given reference images marked by clinicians as relevant or irrelevant, we learn to automatically detect relevant patterns, i.e. patterns that only appear in relevant images. After training, relevant patterns are sought in unseen images in order to classify each image as relevant… (More)
DOI: 10.1109/ISBI.2012.6235496

3 Figures and Tables


  • Presentations referencing similar topics