Deep Learning-Based Modeling of the Dark Adaptation Curve for Robust Parameter Estimation.

De Silva, Tharindu; Hess, Kristina; Grisso, Peyton; Thavikulwat, Alisa T; Wiley, Henry; Keenan, Tiarnan D L; Chew, Emily Y; Jeffrey, Brett G; Cukras, Catherine A

De Silva, Tharindu; Hess, Kristina; Grisso, Peyton; Thavikulwat, Alisa T; Wiley, Henry; Keenan, Tiarnan D L; Chew, Emily Y; Jeffrey, Brett G; Cukras, Catherine A.

Afiliación

De Silva T; Unit on Clinical Investigation of Retinal Disease, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Hess K; Unit on Clinical Investigation of Retinal Disease, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Grisso P; Unit on Clinical Investigation of Retinal Disease, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Thavikulwat AT; Division of Epidemiology & Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Wiley H; Division of Epidemiology & Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Keenan TDL; Division of Epidemiology & Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Chew EY; Division of Epidemiology & Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Jeffrey BG; Ophthalmic Genetics and Visual Function Branch, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
Cukras CA; Unit on Clinical Investigation of Retinal Disease, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.

Transl Vis Sci Technol ; 11(10): 40, 2022 10 03.

Article en En | MEDLINE | ID: mdl-36315120

Asunto(s)

Aprendizaje Profundo; Degeneración Macular; Humanos; Adaptación a la Oscuridad; Agudeza Visual; Degeneración Macular/diagnóstico

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Degeneración Macular Tipo de estudio: Clinical_trials / Diagnostic_studies / Prognostic_studies Idioma: En Revista: Transl Vis Sci Technol Año: 2022 Tipo del documento: Article

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