Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database

• Joon Yul Choi ,

  Contributed equally to this work with: Joon Yul Choi, Tae Keun Yoo

  Roles Formal analysis, Investigation, Methodology, Software, Writing – original draft

  Affiliation Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea

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• Tae Keun Yoo ,

  Contributed equally to this work with: Joon Yul Choi, Tae Keun Yoo

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Software, Writing – original draft, Writing – review & editing

  * E-mail: fawoo2@yuhs.ac (TKY); awaitingyourfeedback@gmail.com (THR)

  Affiliation Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, South Korea

  http://orcid.org/0000-0003-0890-8614

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• Jeong Gi Seo,

  Roles Formal analysis, Investigation

  Affiliation Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, South Korea

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• Jiyong Kwak,

  Roles Formal analysis

  Affiliation Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, South Korea

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• Terry Taewoong Um,

  Roles Writing – review & editing

  Affiliation Department of Electrical & Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

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• Tyler Hyungtaek Rim

  Roles Conceptualization, Investigation, Writing – review & editing

  * E-mail: fawoo2@yuhs.ac (TKY); awaitingyourfeedback@gmail.com (THR)

  Affiliation Institute of Vision Research, Department of Ophthalmology, Yonsei University College of Medicine, Seoul, South Korea

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