Peer-Reviewed Publication

Int J Comput Assist Radiol Surg2021;16(11):2037-2044.November 1, 2021Journal Article

Self-supervised representation learning for surgical activity recognition.

Daniel Paysan¹, Luis Haug², Michael Bajka³, Markus Oelhafen⁴, Joachim M Buhmann²

¹Department of Computer Science, ETH Zurich, Zurich, Switzerland. paysand@ethz.ch.

²Department of Computer Science, ETH Zurich, Zurich, Switzerland.

³Division of Gynecology Department OB/GYN, University Hospital, Zurich, Switzerland.

⁴VirtaMed AG, Schlieren, Switzerland.

PubMed PMC DOI PDF

Abstract

PURPOSE: Virtual reality-based simulators have the potential to become an essential part of surgical education. To make full use of this potential, they must be able to automatically recognize activities performed by users and assess those. Since annotations of trajectories by human experts are expensive, there is a need for methods that can learn to recognize surgical activities in a data-efficie…

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