Correction for the Influence of Cataract on Macular Pigment Measurement by Autofluorescence Technique Using Deep Learning.

Journal: Translational vision science & technology
Published Date: Feb 5, 2021

Abstract

PURPOSE: Measurements of macular pigment optical density (MPOD) by the autofluorescence technique yield underestimations of actual values in eyes with cataract. We applied deep learning (DL) to correct this error.

Authors

  • Akira Obana
    Department of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu City, Shizuoka, Japan.
  • Kibo Ote
    Central Research Laboratory, Hamamatsu Photonics K. K., 5000 Hirakuchi, Hamakita-ku, Hamamatsu 434-8601, Japan.
  • Fumio Hashimoto
    Central Research Laboratory, Hamamatsu Photonics K.K., Hamamatsu, 434-8601, Japan. fumio.hashimoto@crl.hpk.co.jp.
  • Ryo Asaoka
    Department of Ophthalmology, The University of Tokyo, Tokyo, Japan.
  • Yuko Gohto
    Department of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu City, Shizuoka, Japan.
  • Shigetoshi Okazaki
    Department of Medical Spectroscopy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
  • Hidenao Yamada
    Central Research Laboratory, Hamamatsu Photonics K.K., Hamamatsu, Shizuoka, Japan.

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