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

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

Abstract 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. Th...

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Bibliographic Details
Main Authors: Ruben Hemelings, Bart Elen, Alexander K. Schuster, Matthew B. Blaschko, João Barbosa-Breda, Pekko Hujanen, Annika Junglas, Stefan Nickels, Andrew White, Norbert Pfeiffer, Paul Mitchell, Patrick De Boever, Anja Tuulonen, Ingeborg Stalmans
Format: Article
Language:English
Published: Nature Portfolio 2023-06-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-023-00857-0

Internet

https://doi.org/10.1038/s41746-023-00857-0

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