Glaucoma detection and staging from visual field images using machine learning techniques
Glaucoma detection and staging from visual field images using machine learning techniques
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
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 pattern deviation (PD) plots. The DL model results were compared with a...
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Full title
Glaucoma detection and staging from visual field images using machine learning techniques
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TN_cdi_plos_journals_3156772699
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3156772699
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0316919
