Assisted phase and step annotation for surgical videos.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: 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.

Authors

  • Gurvan Lecuyer
    IRT b-com, 1219 avenue des Champs Blancs, 35510, Cesson-Sevigne, France. gurvan.lecuyer@b-com.com.
  • Martin Ragot
    IRT b-com, 1219 avenue des Champs Blancs, 35510, Cesson-Sevigne, France.
  • Nicolas Martin
    IRT b-com, 1219 avenue des Champs Blancs, 35510, Cesson-Sevigne, France.
  • Laurent Launay
    IRT b-com, 1219 avenue des Champs Blancs, 35510, Cesson-Sevigne, France.
  • Pierre Jannin