Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study.

Journal: Translational vision science & technology
PMID:

Abstract

PURPOSE: To develop a deep neural network that detects the scleral spur in anterior segment optical coherence tomography (AS-OCT) images.

Authors

  • Benjamin Y Xu
    Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, California, USA. Electronic address: benjamin.xu@med.usc.edu.
  • Michael Chiang
    Sol Price School of Public Policy, University of Southern California, Los Angeles, California, USA.
  • Anmol A Pardeshi
    Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, California, USA.
  • Sasan Moghimi
    Eye Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
  • Rohit Varma
    University of Southern California Gayle and Edward Roski Eye Institute, Los Angeles, California.