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Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects

Authors

  • Ahnul Ha Department of Ophthalmology, Jeju National University, Jeju, Korea (the Republic of) PubMed articlesGoogle scholar articles
  • Sukkyu Sun Department of AI Software Convergence, Dongguk University, Seoul, Korea (the Republic of) PubMed articlesGoogle scholar articles
  • Young Kook Kim Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of) PubMed articlesGoogle scholar articles
  • Jin Wook Jeoung Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of) PubMed articlesGoogle scholar articles
  • Hee Chan Kim Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, Korea (the Republic of) PubMed articlesGoogle scholar articles
  • Ki Ho Park Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea Department of Ophthalmology, Seoul National University College of Medicine, Seoul, Korea (the Republic of) PubMed articlesGoogle scholar articles
  1. Correspondence to Professor Ki Ho Park, Department of Ophthalmology, Seoul National University Hospital, Jongno-gu, 03080, Korea (the Republic of); kihopark{at}snu.ac.kr; Professor Hee Chan Kim; hckim{at}snu.ac.kr
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Citation

Ha A, Sun S, Kim YK, et al
Deep-learning-based prediction of glaucoma conversion in normotensive glaucoma suspects

Publication history

  • Received December 30, 2022
  • Accepted September 3, 2023
  • First published November 2, 2023.
Online issue publication 
June 20, 2024

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