INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
CentraleSupélec (3, rue Joliot Curie,
Plateau de Moulon,
91192 GIF-SUR-YVETTE Cedex - France)
Abstract : In image-guided surgery, a new generation of Computer-Assisted- Surgical (CAS) systems based on information from the Operating Room (OR) has recently been developed to improve situation awareness in the OR. Our main project is to develop an application-dependant framework able to extract high- level tasks (surgical phases) using microscope videos data only. In this paper, we present two methods: one method to segment the pupil and one to extract and recognize surgical tools. We show how both methods improve the accuracy of the framework for analysis of cataract surgery videos, to detect eight surgical phases.
https://www.hal.inserm.fr/inserm-00669660
Contributor : Florent Lalys
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Submitted on : Monday, February 13, 2012 - 3:57:19 PM
Last modification on : Monday, March 4, 2019 - 2:07:41 PM
Long-term archiving on : Monday, May 14, 2012 - 2:41:08 AM
David Bouget, Florent Lalys, Pierre Jannin. Surgical Tools Recognition and Pupil Segmentation for Cataract Surgical Process Modeling. Medicine Meets Virtual Reality - NextMed, Feb 2012, Newport beach, CA, United States. pp.78-84. ⟨inserm-00669660⟩
