SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools



Souipas, Spyridon, Nguyen, Anh ORCID: 0000-0002-1449-211X, Laws, Stephen, Davies, Brian and Rodriguez Y Baena, Ferdinando
(2024) SimPS-Net: Simultaneous Pose & Segmentation Network of Surgical Tools. In: Proceedings of The 22nd Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery.

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Abstract

<jats:p>The ability to detect and localise surgical tools using RGB cameras during robotic assisted surgery can allow for the development of various implementations, such as vision- based active constraints and refinements in robot path planning, which can ultimately lead in improved patient safety during operation. For this purpose, the proposed network, SimPS-Net capable of both detection and 3D pose estimation of standard surgical tools using a single RGB camera, is introduced. In addition to the network, a novel dataset generated for training and testing is presented. The proposed network achieved a mean DICE coefficient of 85.0%, while also exhibiting a low average error of 5.5mm and 3.3◦ for 3D position and orientation respectively, thus outperforming the competing networks.</jats:p>

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: Bioengineering
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 08 Apr 2024 10:24
Last Modified: 08 Apr 2024 10:24
DOI: 10.29007/plzv
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3180139