Accuracy of ultrawide-field fundus ophthalmoscopy-assisted deep learning for detecting treatment-naïve proliferative diabetic retinopathy.

Journal: International ophthalmology
Published Date: Oct 1, 2019

Abstract

PURPOSE: We investigated using ultrawide-field fundus images with a deep convolutional neural network (DCNN), which is a machine learning technology, to detect treatment-naïve proliferative diabetic retinopathy (PDR).

Authors

  • Toshihiko Nagasawa
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji City, Hyogo Prefecture, 671-1227, Japan. t.nagasawa@tsukazaki-eye.net.
  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hiroki Masumoto
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan.
  • Hiroki Enno
    Rist Inc., Tokyo, Japan.
  • Masanori Niki
    Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.
  • Zaigen Ohara
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji City, Hyogo Prefecture, 671-1227, Japan.
  • Yuki Yoshizumi
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji City, Hyogo Prefecture, 671-1227, Japan.
  • Hideharu Ohsugi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan. h.ohsugi@tsukazaki-eye.net.
  • Yoshinori Mitamura
    Department of Ophthalmology, Institute of Biomedical Sciences, Tokushima University Graduate School, Tokushima, Japan.

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