Validación de la escala de graduación del color en la fotografía del nervio óptico, una alternativa para la clasificación cualitativa

Author:

Morales Domínguez J.,Teherán Forero Ó.L.,Ochoa-Díaz M.M.,Ramos Clason E.C.

Publisher

Elsevier BV

Subject

Ophthalmology

Reference14 articles.

1. Española RA. Color España: Asociación de Academias de la Lengua Española; 2021 [actualizado2020]. Edición del Tricentenario: Disponible en: https://dle.rae.es/color.

2. H. S. The Funduscopic Examination. En: Walker HK HW, Hurst JW, editor. Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd edition ed. Boston: Butterworths; 1990. PMID: 21250045 Bookshelf ID: NBK201.

3. Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs;Jammal;Am J Ophthalmol.,2020

4. Discrimination between glaucomatous and nonglaucomatous eyes using quantitative imaging devices and subjective optic nerve head assessment;Deleón-Ortega;Invest Ophthalmol Vis Sci.,2006

5. From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs;Medeiros;Ophthalmology.,2019

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