Original paper
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
Abstract
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...
Paper Details
Title
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
Published Date
May 25, 2018
Journal
Volume
11
Issue
3
Pages
409 - 421
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Notes
History