A generalised computer vision model for improved glaucoma screening using fundus images.

Journal: Eye (London, England)
Published Date: Nov 5, 2024

Abstract

IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is paramount yet challenging, particularly in resource-limited settings. A novel, computer vision-based model for glaucoma screening using fundus images could enhance early and accurate disease detection.

Authors

  • Abadh K Chaurasia
    Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Tasmania.
  • Guei-Sheung Liu
    Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC, Australia.
  • Connor J Greatbatch
    Menzies Institute for Medical Research, School of Medicine, University of Tasmania, Tasmania.
  • Puya Gharahkhani
    Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Herston, QLD 4006, Australia.
  • Jamie E Craig
    Department of Ophthalmology, Flinders University, Flinders Medical Centre, Bedford Park, SA 5042, Australia.
  • David A Mackey
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.
  • Stuart MacGregor
    Statistical Genetics Lab, QIMR Berghofer Medical Research Institute, Brisbane, Herston, QLD 4006, Australia.
  • Alex W Hewitt
    Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, Melbourne, Victoria, Australia.

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