Machine learning technology in the classification of glaucoma severity using fundus photographs

Machine learning technology in the classification of glaucoma severity using fundus photographs

Abstract This study evaluates the performance of a machine learning model in classifying glaucoma severity using color fundus photographs. Glaucoma severity grading was based on the Hodapp-Parrish-Anderson (HPA) criteria incorporating the mean deviation value, defective points in the pattern deviati...

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Bibliographic Details
Main Authors: Sukhumal Thanapaisal, Passawut Uttakit, Worapon Ittharat, Pukkapol Suvannachart, Pawasoot Supasai, Pattarawit Polpinit, Prapassara Sirikarn, Panawit Hanpinitsak
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Machine learning
Glaucoma
Classification
Screening
Online Access:https://doi.org/10.1038/s41598-025-11697-1
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https://doi.org/10.1038/s41598-025-11697-1

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