Automatic Classification of Slit-Lamp Photographs by Imaging Illumination.

Journal: Cornea
PMID:

Abstract

PURPOSE: The aim of this study was to facilitate deep learning systems in image annotations for diagnosing keratitis type by developing an automated algorithm to classify slit-lamp photographs (SLPs) based on illumination technique.

Authors

  • Ming-Chen Lu
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Callie Deng
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Miles F Greenwald
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Sina Farsiu
    Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • N Venkatesh Prajna
    Aravind Eye Hospital, Madurai, Tamil Nadu, India.
  • Nambi Nallasamy
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Mercy Pawar
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Jenna N Hart
    Department of Ophthalmology and Visual Sciences, School of Medicine, University of Michigan, Ann Arbor, MI.
  • Sumithra Sr
    Aravind Eye Care System, Madurai, India.
  • Prabhleen Kochar
    Aravind Eye Care System, Madurai, India.
  • Suvitha Selvaraj
    Aravind Eye Care System, Madurai, India.
  • Harry Levine
    Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL; and.
  • Guillermo Amescua
    Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL; and.
  • Paula A Sepulveda-Beltran
    Department of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL; and.
  • Leslie M Niziol
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan.
  • Maria A Woodward
    Department of Ophthalmology and Visual Sciences, W. K. Kellogg Eye Center, University of Michigan, Ann Arbor, Michigan; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan. Electronic address: mariawoo@umich.edu.