Weakly supervised classification of medical images

Abstract

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

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