OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning

OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning

Abstract Glaucoma poses a growing health challenge projected to escalate in the coming decades. However, current automated diagnostic approaches on Glaucoma diagnosis solely rely on black-box deep learning models, lacking explainability and trustworthiness. To address the issue, this study uses opti...

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Bibliographic Details
Main Authors: Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Optical coherence tomography
Glaucoma
Perimetry
Explainable machine learning
SHAP analysis
Partial dependency analysis
Online Access:https://doi.org/10.1038/s41598-025-87219-w
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https://doi.org/10.1038/s41598-025-87219-w

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