Artificial Intelligence for Automated Overlay of Fundus Camera and Scanning Laser Ophthalmoscope Images.

Journal: Translational vision science & technology
Published Date: Oct 1, 2020

Abstract

PURPOSE: The purpose of this study was to evaluate the ability to align two types of retinal images taken on different platforms; color fundus (CF) photographs and infrared scanning laser ophthalmoscope (IR SLO) images using mathematical warping and artificial intelligence (AI).

Authors

  • Melina Cavichini
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Cheolhong An
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Dirk-Uwe G Bartsch
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Mahima Jhingan
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Manuel J Amador-Patarroyo
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.
  • Christopher P Long
    University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Junkang Zhang
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Yiqian Wang
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • Alison X Chan
    University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Samantha Madala
    University of California San Diego School of Medicine, La Jolla, CA, USA.
  • Truong Nguyen
    Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA.
  • William R Freeman
    Jacobs Retina Center, Shiley Eye Institute, University of California San Diego, La Jolla, CA, USA.

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