Accuracy of ultra-wide-field fundus ophthalmoscopy-assisted deep learning, a machine-learning technology, for detecting age-related macular degeneration.

Journal: International ophthalmology
Published Date: Jun 1, 2019

Abstract

PURPOSE: To predict exudative age-related macular degeneration (AMD), we combined a deep convolutional neural network (DCNN), a machine-learning algorithm, with Optos, an ultra-wide-field fundus imaging system.

Authors

  • Shinji Matsuba
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan. s.matsuba@tsukazaki-eye.net.
  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hideharu Ohsugi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan. h.ohsugi@tsukazaki-eye.net.
  • Hiroki Enno
    Rist Inc., Tokyo, Japan.
  • Naofumi Ishitobi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hiroki Masumoto
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan.
  • Yoshiaki Kiuchi
    Department of Ophthalmology and Visual Sciences, Graduate School of Biomedical Sciences, Hiroshima University, 1-2-3 Minami, Kasumi, Hioroshima, 734-8553, Japan.

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