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Artificial intelligence for classifying uncertain images by humans in determining choroidal vascular running pattern and comparisons with automated classification between artificial intelligence.
Sonoda, Shozo; Shiihara, Hideki; Terasaki, Hiroto; Kakiuchi, Naoko; Funatsu, Ryoh; Tomita, Masatoshi; Shinohara, Yuki; Uchino, Eisuke; Udagawa, Takuma; An, Guangzhou; Akiba, Masahiro; Yokota, Hideo; Sakamoto, Taiji.
Afiliação
  • Sonoda S; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Shiihara H; Sonoda Eye Clinic, Kagoshima, Japan.
  • Terasaki H; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Kakiuchi N; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Funatsu R; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Tomita M; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Shinohara Y; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Uchino E; Department of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
  • Udagawa T; Sonoda Eye Clinic, Kagoshima, Japan.
  • An G; R&D Division, Topcon Corporation, Tokyo, Japan.
  • Akiba M; Image Processing Research Team, RIKEN Center for Advanced Photonics, RIKEN, Wako, Japan.
  • Yokota H; R&D Division, Topcon Corporation, Tokyo, Japan.
  • Sakamoto T; Image Processing Research Team, RIKEN Center for Advanced Photonics, RIKEN, Wako, Japan.
PLoS One ; 16(5): e0251553, 2021.
Article em En | MEDLINE | ID: mdl-33989334
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doenças da Coroide / Corioide Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doenças da Coroide / Corioide Tipo de estudo: Observational_studies / Prognostic_studies Limite: Adult / Aged / Humans / Middle aged Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Japão