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Surreal: Enhancing Surgical simulation Realism using style transfer

Luengo, I; Flouty, E; Giataganas, P; Wisanuvej, P; Nehme, J; Stoyanov, D; (2018) Surreal: Enhancing Surgical simulation Realism using style transfer. In: Proceedings of the British Machine Vision Conference 2018, BMVC 2018. (pp. pp. 1-12). BMVA: Newcastle, UK. Green open access

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Abstract

Surgical simulation is an increasingly important element of surgical education. Using simulation can be a means to address some of the significant challenges in developing surgical skills with limited time and resources. The photo-realistic fidelity of simulations is a key feature that can improve the experience and transfer ratio of trainees. In this paper, we demonstrate how we can enhance the visual fidelity of existing surgical simulation by performing style transfer of multi-class labels from real surgical video onto synthetic content. We demonstrate our approach on simulations of cataract surgery using real data labels from an existing public dataset. Our results highlight the feasibility of the approach and also the powerful possibility to extend this technique to incorporate additional temporal constraints and to different applications.

Type: Proceedings paper
Title: Surreal: Enhancing Surgical simulation Realism using style transfer
Event: 29th British Machine Vision Conference, BMVC 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.bmva.org/bmvc/2018/index.html
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10084794
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