Evaluating a Deep Learning Diabetic Retinopathy Grading System Developed on Mydriatic Retinal Images When Applied to Non-Mydriatic Community Screening.

Nunez do Rio, Joan M; Nderitu, Paul; Bergeles, Christos; Sivaprasad, Sobha; Tan, Gavin S W; Raman, Rajiv

Nunez do Rio, Joan M; Nderitu, Paul; Bergeles, Christos; Sivaprasad, Sobha; Tan, Gavin S W; Raman, Rajiv.

Afiliación

Nunez do Rio JM; Institute of Ophthalmology, University College London, London EC1V 9EL, UK.
Nderitu P; Section of Ophthalmology, King's College London, London WC2R 2LS, UK.
Bergeles C; Institute of Ophthalmology, University College London, London EC1V 9EL, UK.
Sivaprasad S; Section of Ophthalmology, King's College London, London WC2R 2LS, UK.
Tan GSW; School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EU, UK.
Raman R; Institute of Ophthalmology, University College London, London EC1V 9EL, UK.

J Clin Med ; 11(3)2022 Jan 26.

Article en En | MEDLINE | ID: mdl-35160065

Palabras clave

deep learning; diabetic retinopathy; handheld non-mydriatic images

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Screening_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Suiza

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