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Artificial intelligence using deep learning to predict the anatomical outcome of rhegmatogenous retinal detachment surgery: a pilot study.
Fung, Timothy H M; John, Neville C R A; Guillemaut, Jean-Yves; Yorston, David; Frohlich, David; Steel, David H W; Williamson, Tom H.
Afiliação
  • Fung THM; Guy's and St Thomas' NHS Foundation Trust, London, UK. timothyfung@doctors.org.uk.
  • John NCRA; Centre for Vision, Speech and Signal Processing, Department of Electrical and Electronic Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK.
  • Guillemaut JY; Centre for Vision, Speech and Signal Processing, Department of Electrical and Electronic Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK.
  • Yorston D; Gartnavel Hospital, Glasgow, UK.
  • Frohlich D; Centre for Vision, Speech and Signal Processing, Department of Electrical and Electronic Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK.
  • Steel DHW; Sunderland Eye Hospital, Sunderland, UK.
  • Williamson TH; Bioscience Institute, Newcastle University, Newcastle Upon Tyne, UK.
Graefes Arch Clin Exp Ophthalmol ; 261(3): 715-721, 2023 Mar.
Article em En | MEDLINE | ID: mdl-36303063
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Descolamento Retiniano / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Descolamento Retiniano / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article