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Assisted phase and step annotation for surgical videos

Abstract : Annotation of surgical videos is a time-consuming task which requires specific knowledge. In this paper, we present and evaluate a deep learning-based method that includes pre-annotation of the phases and steps in surgical videos and user assistance in the annotation process.
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Contributor : Laurent Jonchère <>
Submitted on : Wednesday, March 4, 2020 - 2:51:53 PM
Last modification on : Thursday, March 5, 2020 - 1:23:17 AM



Gurvan Lecuyer, Martin Ragot, Nicolas Martin, Laurent Launay, Pierre Jannin. Assisted phase and step annotation for surgical videos. International Journal of Computer Assisted Radiology and Surgery, 2020, ⟨10.1007/s11548-019-02108-8⟩. ⟨hal-02498462⟩



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