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Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures.

Abstract : PURPOSE: Surgical process models (SPMs) have recently been created for situation-aware computer-assisted systems in the operating room. One important challenge in this area is the automatic acquisition of SPMs. The purpose of this study is to present a new method for the automatic detection of low-level surgical tasks, that is, the sequence of activities in a surgical procedure, from microscope video images only. The level of granularity that we addressed in this work is symbolized by activities formalized by triplets
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https://www.hal.inserm.fr/inserm-00695646
Contributor : Florent Lalys <>
Submitted on : Wednesday, May 9, 2012 - 3:05:13 PM
Last modification on : Wednesday, November 25, 2020 - 6:44:05 PM
Long-term archiving on: : Thursday, December 15, 2016 - 5:02:07 AM

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Florent Lalys, David Bouget, Laurent Riffaud, Pierre Jannin. Automatic knowledge-based recognition of low-level tasks in ophthalmological procedures.. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2013, 8 (1), pp.39-49. ⟨10.1007/s11548-012-0685-6⟩. ⟨inserm-00695646⟩

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