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Glaucoma diagnosis using multi-feature analysis and a deep learning technique

Abstract In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) feature from optical coherence tomography (OCT) images. The data (n = 100 for both glaucoma and control) were colle...

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Bibliografische gegevens
Hoofdauteurs: Nahida Akter, John Fletcher, Stuart Perry, Matthew P. Simunovic, Nancy Briggs, Maitreyee Roy
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2022-05-01
Reeks:Scientific Reports
Online toegang:https://doi.org/10.1038/s41598-022-12147-y
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