Assisted phase and step annotation for surgical videos

Journal Article - 2020


International Journal of Computer Assisted Radiology and Surgery


Gurvan Lecuyer
Martin Ragot
Nicolas Martin
Laurent Launay
Pierre Jannin


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.