Deep Neural Network-Based Method for Detecting Obstructive Meibomian Gland Dysfunction With in Vivo Laser Confocal Microscopy.

Journal: Cornea
Published Date: Jun 1, 2020

Abstract

PURPOSE: To evaluate the ability of deep learning (DL) models to detect obstructive meibomian gland dysfunction (MGD) using in vivo laser confocal microscopy images.

Authors

  • Sachiko Maruoka
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Daisuke Nagasato
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.
  • Hiroki Masumoto
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan.
  • Taiichiro Chikama
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Akiko Kawai
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Naoko Oishi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Toshi Maruyama
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Yoshitake Kato
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Takahiko Hayashi
    Department of Ophthalmology, Yokohama Minami Kyosai Hospital, Kanagawa, Japan.
  • Chikako Katakami
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.

Keywords

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