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Glaucoma detection and staging from visual field images using machine learning techniques.

<h4>Purpose</h4>In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the patte...

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Bibliografische Detailangaben
Hauptverfasser: Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science (PLoS) 2025-01-01
Schriftenreihe:PLoS ONE
Online-Zugang:https://doi.org/10.1371/journal.pone.0316919
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