A Deep Learning Approach in Rebubbling After Descemet's Membrane Endothelial Keratoplasty.

Journal: Eye & contact lens
PMID: 31425350

Abstract

PURPOSE: To evaluate the efficacy of deep learning in judging the need for rebubbling after Descemet's endothelial membrane keratoplasty (DMEK).

Authors

  • Takahiko Hayashi
    Department of Ophthalmology, Yokohama Minami Kyosai Hospital, Kanagawa, Japan.
  • 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.
  • Shoji Morita
    Research Group of Intelligent Cybernetics and Computer Science Graduate School of Engineering, University of Hyogo, Himeji, Japan.
  • Itaru Oyakawa
  • Satoru Inoda
    Department of Ophthalmology, Jichi Medical University, Tochigi, Japan.
  • Naoko Kato
  • Hidenori Takahashi

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