Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.

Journal: Journal of medical Internet research
Published Date: Sep 21, 2021

Abstract

BACKGROUND: Glaucoma leads to irreversible blindness. Globally, it is the second most common retinal disease that leads to blindness, slightly less common than cataracts. Therefore, there is a great need to avoid the silent growth of this disease using recently developed generative adversarial networks (GANs).

Authors

  • Ali Q Saeed
    Center for Cyber Security, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.
  • Siti Norul Huda Sheikh Abdullah
    Recognition Research Group, Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Malaysia.
  • Jemaima Che-Hamzah
    Department of Ophthalmology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Cheras, Kuala Lumpur, Malaysia.
  • Ahmad Tarmizi Abdul Ghani
    Center for Cyber Security, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia.

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