Predicting 10-2 Visual Field From Optical Coherence Tomography in Glaucoma Using Deep Learning Corrected With 24-2/30-2 Visual Field.

Abstract

Authors

• Yohei Hashimoto
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Taichi Kiwaki
  Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
• Hiroki Sugiura
  Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
• Shotaro Asano
  Department of Ophthalmology, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan.
• Hiroshi Murata
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Yuri Fujino
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
• Masato Matsuura
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan; Moorfields Eye Hospital National Health Service Foundation Trust and University College London, Institute of Ophthalmology, London, United Kingdom.
• Atsuya Miki
  Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
• Kazuhiko Mori
  Medicinal Safety Research Laboratories, Daiichi Sankyo Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo, 134-8630, Japan.
• Yoko Ikeda
  Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan; Oike Ikeda Eye Clinic, Kyoto, Japan.
• Takashi Kanamoto
  Department of Ophthalmology, Hiroshima Memorial Hospital, Hiroshima, Japan.
• Junkichi Yamagami
  JR Tokyo General Hospital, Tokyo, Japan.
• Kenji Inoue
  Inouye Eye Hospital, Tokyo, Japan.
• Masaki Tanito
  Division of Ophthalmology, Matsue Red Cross Hospital, Shimane, Japan.
• Kenji Yamanishi
  Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
• Ryo Asaoka
  Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.

Keywords

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