Evaluating machine learning classifiers for glaucoma referral decision support in primary care settings

Several artificial intelligence algorithms have been proposed to help diagnose glaucoma by analyzing the functional and/or structural changes in the eye. These algorithms require carefully curated datasets with access to ocular images. In the current study, we have modeled and evaluated classifiers...

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Detalles Bibliográficos
Autores principales: Kaskar, Omkar G., Wells-Gray, Elaine, Fleischman, David, Grace, Landon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122936/
https://www.ncbi.nlm.nih.gov/pubmed/35595794
http://dx.doi.org/10.1038/s41598-022-12270-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122936/
https://www.ncbi.nlm.nih.gov/pubmed/35595794
http://dx.doi.org/10.1038/s41598-022-12270-w

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