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Characteristics of a Large, Labeled Data Set for the Training of Artificial Intelligence for Glaucoma Screening with Fundus Photographs

PURPOSE: Significant visual impairment due to glaucoma is largely caused by the disease being detected too late. OBJECTIVE: To build a labeled data set for training artificial intelligence (AI) algorithms for glaucoma screening by fundus photography, to assess the accuracy of the graders, and to cha...

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Detalles Bibliográficos
Autores principales:	Lemij, Hans G., Vente, Coen de, Sánchez, Clara I., Vermeer, Koen A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10127130/ https://www.ncbi.nlm.nih.gov/pubmed/37113471 http://dx.doi.org/10.1016/j.xops.2023.100300

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