Comparison between support vector machine and deep learning, machine-learning technologies for detecting epiretinal membrane using 3D-OCT.

Journal: International ophthalmology
Published Date: Aug 1, 2019

Abstract

PURPOSE: In this study, we compared deep learning (DL) with support vector machine (SVM), both of which use three-dimensional optical coherence tomography (3D-OCT) images for detecting epiretinal membrane (ERM).

Authors

  • Tomoaki Sonobe
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan. t.sonobe@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 Masumoto
    Department of Ophthalmology, Saneikai Tsukazaki Hospital, 68-1 Aboshi Waku, Himeji, 671-1227, Japan.
  • Naohumi Ishitobi
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.
  • Shoji Morita
    Research Group of Intelligent Cybernetics and Computer Science Graduate School of Engineering, University of Hyogo, Himeji, Japan.
  • Hiroki Enno
    Rist Inc., Tokyo, Japan.
  • Daisuke Nagasato
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, 671-1227, Japan.

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