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Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.
Wu, Yue; Olvera-Barrios, Abraham; Yanagihara, Ryan; Kung, Timothy-Paul H; Lu, Randy; Leung, Irene; Mishra, Amit V; Nussinovitch, Hanan; Grimaldi, Gabriela; Blazes, Marian; Lee, Cecilia S; Egan, Catherine; Tufail, Adnan; Lee, Aaron Y.
  • Wu Y; Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Olvera-Barrios A; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom.
  • Yanagihara R; Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Kung TH; Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Lu R; Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Leung I; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Mishra AV; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Nussinovitch H; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Grimaldi G; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Blazes M; Department of Ophthalmology, University of Washington, Seattle, Washington.
  • Lee CS; Department of Ophthalmology, University of Washington, Seattle, Washington; Roger and Angie Karalis Johnson Retina Center, Seattle, Washington.
  • Egan C; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom.
  • Tufail A; Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom; Institute of Ophthalmology, University College London, London, United Kingdom.
  • Lee AY; Department of Ophthalmology, University of Washington, Seattle, Washington; Roger and Angie Karalis Johnson Retina Center, Seattle, Washington. Electronic address: leeay@uw.edu.
Ophthalmology ; 130(2): 213-222, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36154868
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article