Beyond PhacoTrainer: Deep Learning for Enhanced Trabecular Meshwork Detection in MIGS Videos.

Journal: Translational vision science & technology
PMID:

Abstract

PURPOSE: The purpose of this study was to develop deep learning models for surgical video analysis, capable of identifying minimally invasive glaucoma surgery (MIGS) and locating the trabecular meshwork (TM).

Authors

  • Su Kara
    Department of Ophthalmology, Stanford University, Palo Alto, CA, USA.
  • Michael Yang
    Department of Mechanical and Aerospace Engineering, Rutgers University, Piscataway, New Jersey, USA.
  • Hsu-Hang Yeh
    Department of Biomedical Data Science, Stanford University, Palo Alto, CA, USA.
  • Simmi Sen
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA.
  • Hannah H Hwang
    Weill Cornell School of Medicine, Cornell University, New York, NY, USA.
  • Sophia Y Wang
    School of Medicine, Stanford University, Palo Alto, CA, United States.