Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

Journal: American journal of ophthalmology
Published Date:

Abstract

PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.

Authors

  • Linchuan Xu
    Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Ryo Asaoka
    Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
  • Taichi Kiwaki
    Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, 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.
  • Yohei Hashimoto
    Department of Ophthalmology, 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.
  • 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.