Unpaired deep adversarial learning for multi-class segmentation of instruments in robot-assisted surgical videos.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date:

Abstract

PURPOSE: Image segmentation of instruments in the raw surgical videos is a critical component of intraoperative assistance softwares. Challenges include addressing rendered overlays occluding the instrument while providing pivotal input to instrument tracking frameworks and, train the segmentation process with limited labelled data available from surgical videos.

Authors

  • Shubhangi Nema
    Systems and Control Group, Indian Institute of Technology Bombay, Mumbai, Maharastra, India.
  • Leena Vachhani
    Systems and Control Group, Indian Institute of Technology Bombay, Mumbai, Maharastra, India.