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Choroidal thickness estimation from colour fundus photographs by adaptive binarisation and deep learning, according to central serous chorioretinopathy status.
Komuku, Yuki; Ide, Atsuya; Fukuyama, Hisashi; Masumoto, Hiroki; Tabuchi, Hitoshi; Okadome, Takeshi; Gomi, Fumi.
  • Komuku Y; Department of Ophthalmology, Hyogo College of Medicine, Nishinomiya, Japan.
  • Ide A; Kwansei Gakuin University, Sanda, Japan.
  • Fukuyama H; Department of Ophthalmology, Hyogo College of Medicine, Nishinomiya, Japan.
  • Masumoto H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Tabuchi H; Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Okadome T; Kwansei Gakuin University, Sanda, Japan.
  • Gomi F; Department of Ophthalmology, Hyogo College of Medicine, Nishinomiya, Japan. gomi.fumi@gmail.com.
Sci Rep ; 10(1): 5640, 2020 03 27.
Article en En | MEDLINE | ID: mdl-32221317
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Coroides / Coriorretinopatía Serosa Central Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Coroides / Coriorretinopatía Serosa Central Tipo de estudio: Prognostic_studies Límite: Adolescent / Adult / Aged / Aged80 / Child / Female / Humans / Male / Middle aged Idioma: En Año: 2020 Tipo del documento: Article