Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch’s membrane opening-minimum rim width and RNFL

We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch’s membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learning model. Discriminating early-stage glaucoma and...

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Detalles Bibliográficos
Autores principales: Seo, Sat byul, Cho, Hyun-kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643070/
https://www.ncbi.nlm.nih.gov/pubmed/33149191
http://dx.doi.org/10.1038/s41598-020-76154-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7643070/
https://www.ncbi.nlm.nih.gov/pubmed/33149191
http://dx.doi.org/10.1038/s41598-020-76154-7

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