Differentiation of Active Corneal Infections from Healed Scars Using Deep Learning.

Journal: Ophthalmology
PMID:

Abstract

PURPOSE: To develop and evaluate an automated, portable algorithm to differentiate active corneal ulcers from healed scars using only external photographs.

Authors

  • Mo Tiwari
    Department of Computer Science, Stanford University, Stanford, California.
  • Chris Piech
    Department of Computer Science, Stanford University, Stanford, California.
  • Medina Baitemirova
    Department of Biomedical Informatics, Stanford University, Stanford, California.
  • Namperumalsamy V Prajna
    Aravind Eye Hospital, Madurai, India.
  • Muthiah Srinivasan
    Aravind Eye Hospital, Madurai, India.
  • Prajna Lalitha
    Aravind Eye Hospital, Madurai, India.
  • Natacha Villegas
    Byers Eye Institute, Stanford University, Stanford, California.
  • Niranjan Balachandar
    Department of Radiology and Biomedical Data Science, Stanford University, Palo Alto, CA, 94305, USA.
  • Janice T Chua
    School of Medicine, University of California, Irvine, Irvine, California.
  • Travis Redd
    Department of Ophthalmology, Casey Eye Institute, Oregon Health and Science University, Portland, Oregon.
  • Thomas M Lietman
    Francis I. Proctor Foundation, University of California San Francisco, San Francisco, CA, United States of America.
  • Sebastian Thrun
    Department of Computer Science, Stanford University, Stanford, California, USA.
  • Charles C Lin
    Byers Eye Institute, Stanford University, Stanford, California. Electronic address: lincc@stanford.edu.