Validation of Soft Labels in Developing Deep Learning Algorithms for Detecting Lesions of Myopic Maculopathy From Optical Coherence Tomographic Images.

Journal: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Published Date: May 1, 2022

Abstract

PURPOSE: It is common for physicians to be uncertain when examining some images. Models trained with human uncertainty could be a help for physicians in diagnosing pathologic myopia.

Authors

  • Ran Du
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Shiqi Xie
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Yuxin Fang
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Shinichi Hagino
    Research Institute of Systems Planning, Inc., Tokyo, Japan.
  • Shinji Yamamoto
    Research Institute of Systems Planning, Inc, Tokyo, Japan.
  • Muka Moriyama
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Takeshi Yoshida
    The Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan.
  • Tae Igarashi-Yokoi
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Hiroyuki Takahashi
    Department of Pathology, Jikei University School of Medicine, Tokyo, Japan.
  • Natsuko Nagaoka
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kengo Uramoto
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Yuka Onishi
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Takashi Watanabe
    Division of Clinical Pharmaceutics and Pharmacy Practice, Tohoku Medical and Pharmaceutical University, Sendai 983-8536, Japan; Division of Clinical Pharmacotherapeutics, Tohoku Medical and Pharmaceutical University, Sendai 981-8558, Japan; Department of Pharmacy, Tohoku Medical and Pharmaceutical University Hospital, Sendai 983-8512, Japan.
  • Noriko Nakao
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Tomonari Takahashi
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Yuichiro Kaneko
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Takeshi Azuma
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Ryoma Hatake
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Takuhei Nomura
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Tatsuro Sakura
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Mariko Yana
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Jianping Xiong
    Department of Medical Oncology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China.
  • Changyu Chen
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kyoko Ohno-Matsui
    Department of Ophthalmology and Visual Science, Tokyo Medical and Dental University, Tokyo, Japan. Electronic address: k.ohno.oph@tmd.ac.jp.

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