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

Florent Lalys 1, * David Bouget 1 Laurent Riffaud 1 Pierre Jannin 1, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
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
Keywords : Surgical workflow Activity detection Surgical ontology Image-based analysis Surgical process model
Type de document :
Article dans une revue
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2013, 8 (1), pp.39-49. 〈10.1007/s11548-012-0685-6〉
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Soumis le : mercredi 9 mai 2012 - 15:05:13
Dernière modification le : mercredi 16 mai 2018 - 11:23:40
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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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