A contextual detector of surgical tools in laparoscopic videos using deep learning.

Journal: Surgical endoscopy
Published Date:

Abstract

BACKGROUND: The complexity of laparoscopy requires special training and assessment. Analyzing the streaming videos during the surgery can potentially improve surgical education. The tedium and cost of such an analysis can be dramatically reduced using an automated tool detection system, among other things. We propose a new multilabel classifier, called LapTool-Net to detect the presence of surgical tools in each frame of a laparoscopic video.

Authors

  • Babak Namazi
    Baylor Scott & White Research Institute, Dallas, TX, USA.
  • Ganesh Sankaranarayanan
    Department of Surgery, Baylor University Medical Center, 3500 Gaston Ave, Dallas, TX, 75246, USA. ganesh.sankaranarayanan@bswhealth.org.
  • Venkat Devarajan
    Electrical Engineering Department, University of Texas at Arlington, Arlington, TX, USA.