A generalizable deep learning regression model for automated glaucoma screening from fundus images

A plethora of classification models for the detection of glaucoma from fundus images have been proposed in recent years. Often trained with data from a single glaucoma clinic, they report impressive performance on internal test sets, but tend to struggle in generalizing to external sets. This perfor...

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Detalles Bibliográficos
Autores principales: Hemelings, Ruben, Elen, Bart, Schuster, Alexander K., Blaschko, Matthew B., Barbosa-Breda, João, Hujanen, Pekko, Junglas, Annika, Nickels, Stefan, White, Andrew, Pfeiffer, Norbert, Mitchell, Paul, De Boever, Patrick, Tuulonen, Anja, Stalmans, Ingeborg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264390/
https://www.ncbi.nlm.nih.gov/pubmed/37311940
http://dx.doi.org/10.1038/s41746-023-00857-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264390/
https://www.ncbi.nlm.nih.gov/pubmed/37311940
http://dx.doi.org/10.1038/s41746-023-00857-0

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