Generalization of Deep Learning Gesture Classification in Robotic-Assisted Surgical Data: From Dry Lab to Clinical-Like Data.

Journal: IEEE journal of biomedical and health informatics
Published Date:

Abstract

OBJECTIVE: Robotic-assisted minimally invasive surgery (RAMIS) became a common practice in modern medicine and is widely studied. Surgical procedures require prolonged and complex movements; therefore, classifying surgical gestures could be helpful to characterize surgeon performance. The public release of the JIGSAWS dataset facilitates the development of classification algorithms; however, it is not known how algorithms trained on dry-lab data generalize to real surgical situations.

Authors

  • Danit Itzkovich
  • Yarden Sharon
  • Anthony Jarc
    3 Medical Research, Intuitive Surgical, Inc. , Norcross, Georgia .
  • Yael Refaely
  • Ilana Nisky