Diagnosis of central serous chorioretinopathy by deep learning analysis of en face images of choroidal vasculature: A pilot study

• Yukihiro Aoyama,

  Roles Conceptualization, Data curation, Software, Writing – original draft

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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• Ichiro Maruko ,

  Roles Conceptualization, Data curation, Methodology, Software, Supervision, Writing – original draft

  * E-mail: imaruko@twmu.ac.jp

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

  https://orcid.org/0000-0001-5647-6372

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• Taizo Kawano,

  Roles Data curation

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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• Tatsuro Yokoyama,

  Roles Data curation

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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• Yuki Ogawa,

  Roles Data curation

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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• Ruka Maruko,

  Roles Data curation

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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• Tomohiro Iida

  Roles Supervision, Writing – review & editing

  Affiliation Department of Ophthalmology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan

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