Assessing the external validity of machine learning-based detection of glaucoma

Assessing the external validity of machine learning-based detection of glaucoma

Abstract Studies using machine learning (ML) approaches have reported high diagnostic accuracies for glaucoma detection. However, none assessed model performance across ethnicities. The aim of the study is to externally validate ML models for glaucoma detection from optical coherence tomography (OCT...

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Bibliographic Details
Main Authors: Chi Li, Jacqueline Chua, Florian Schwarzhans, Rahat Husain, Michaël J. A. Girard, Shivani Majithia, Yih-Chung Tham, Ching-Yu Cheng, Tin Aung, Georg Fischer, Clemens Vass, Inna Bujor, Chee Keong Kwoh, Alina Popa-Cherecheanu, Leopold Schmetterer, Damon Wong
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-27783-1

Internet

https://doi.org/10.1038/s41598-023-27783-1

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