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Artificial intelligence for morphology-based function prediction in neovascular age-related macular degeneration.
von der Emde, Leon; Pfau, Maximilian; Dysli, Chantal; Thiele, Sarah; Möller, Philipp T; Lindner, Moritz; Schmid, Matthias; Fleckenstein, Monika; Holz, Frank G; Schmitz-Valckenberg, Steffen.
Afiliação
  • von der Emde L; Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Pfau M; Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Dysli C; GRADE Reading Center, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Thiele S; Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Möller PT; Department of Ophthalmology and Department of Clinical Research, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
  • Lindner M; Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Schmid M; GRADE Reading Center, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Fleckenstein M; Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Holz FG; GRADE Reading Center, Ernst-Abbe-Str. 2, Bonn, Germany.
  • Schmitz-Valckenberg S; The Nuffield Laboratory of Ophthalmology, Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Sci Rep ; 9(1): 11132, 2019 07 31.
Article em En | MEDLINE | ID: mdl-31366903
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Degeneração Macular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Degeneração Macular Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article