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Dual-input convolutional neural network for glaucoma diagnosis using spectral-domain optical coherence tomography

Authors

  • Sukkyu Sun Interdisciplinary Program in Bioengineering, Graduate school, Seoul National University, Seoul, South Korea PubMed articlesGoogle scholar articles
  • Ahnul Ha Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea Department of Ophthalmology, Jeju National University Hospital, Jeju-si, South Korea PubMed articlesGoogle scholar articles
  • Young Kook Kim Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea PubMed articlesGoogle scholar articles
  • Byeong Wook Yoo Samsung Research, Samsung Electronics, Seoul, South Korea PubMed articlesGoogle scholar articles
  • Hee Chan Kim Interdisciplinary Program in Bioengineering, Graduate school, Seoul National University, Seoul, South Korea Institute of Medical and Biological Engineering, Medical Research Center, Seoul National University, Seoul, South Korea Department of Biomedical Engineering, Seoul National University College of Medicine, Seoul, South Korea PubMed articlesGoogle scholar articles
  • Ki Ho Park Department of Ophthalmology, Seoul National University College of Medicine, Seoul, South Korea Department of Ophthalmology, Seoul National University Hospital, Seoul, South Korea PubMed articlesGoogle scholar articles
  1. Correspondence to Hee Chan Kim, Department of Biomedical Engineering, Seoul National University Hospital, 101 Daehak-ro, Jongro-gu, Jongno-gu 03080, Korea (the Republic of); and Ki Ho Park, Ophthalmology, Seoul National University College of Medicine, 101 Daehak-ro, Jongro-gu, Seoul 03080, Korea (the Republic of); hckim{at}snu.ac.kr kihopark{at}snu.ac.kr
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Citation

Sun S, Ha A, Kim YK, et al
Dual-input convolutional neural network for glaucoma diagnosis using spectral-domain optical coherence tomography

Publication history

  • Received March 8, 2020
  • Revised July 15, 2020
  • Accepted August 25, 2020
  • First published September 12, 2020.
Online issue publication 
October 21, 2021

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