Validation of the color graduation scale in the optical nerve photograph, an alternative for qualitative classification

Author:

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

Publisher

Elsevier BV

Subject

General Medicine

Reference14 articles.

1. Española RA. Color España: Asociación de Academias de la Lengua Española; 2021 [updated 2020]. Edición del Tricentenario: Available from: https://dle.rae.es/color.

2. H.S. The Funduscopic Examination. In: 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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