Diagnosis of early glaucoma likely combined with high myopia by integrating OCT thickness map and standard automated and Pulsar perimetries

Diagnosis of early glaucoma likely combined with high myopia by integrating OCT thickness map and standard automated and Pulsar perimetries

Abstract Early-stage glaucoma diagnosis is crucial for preventing permanent structural damage and irreversible vision loss. While various machine-learning approaches have been developed for glaucoma diagnosis, only a few specifically address early-stage detection. Moreover, existing early-stage dete...

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Bibliographic Details
Main Authors: Ai-Su Yang, Hong-Siang Wang, Te-Jung Li, Chin-Hsin Liu, Chung-Ming Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Early glaucoma detection
Retinal layer segmentation
Optical coherence tomography
Standard automated perimetry
Pulsar perimetry
Deep learning
Online Access:https://doi.org/10.1038/s41598-025-97883-7
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https://doi.org/10.1038/s41598-025-97883-7

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