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

Internet

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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