Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames

Several studies have addressed the problem of abnormality detection in medical images using computer-based systems. The impact of such systems in clinical practice and in the society can be high, considering that they can contribute to the reduction of medical errors and the associated adverse events. Today, most of these systems are based on binary classification algorithms that are “strongly” supervised, in the sense that the abnormal training...