Addressing multi-label imbalance problem of surgical tool detection using CNN.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Mar 29, 2017
Abstract
PURPOSE: A fully automated surgical tool detection framework is proposed for endoscopic video streams. State-of-the-art surgical tool detection methods rely on supervised one-vs-all or multi-class classification techniques, completely ignoring the co-occurrence relationship of the tools and the associated class imbalance.