Peripapillary atrophy classification using CNN deep learning for glaucoma screening
Peripapillary atrophy classification using CNN deep learning for glaucoma screening
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Publisher
Public Library of Science (PLoS)
Journal title
Language
English
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Publisher
Public Library of Science (PLoS)
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Scope and Contents
Contents
Glaucoma is the second leading cause of blindness worldwide, and peripapillary atrophy (PPA) is a morphological symptom associated with it. Therefore, it is necessary to clinically detect PPA for glaucoma diagnosis. This study was aimed at developing a detection method for PPA using fundus images with deep learning algorithms to be used by ophthalm...
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Full title
Peripapillary atrophy classification using CNN deep learning for glaucoma screening
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TN_cdi_doaj_primary_oai_doaj_org_article_acd2797643b049adb3ab1aed70e50f7e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_acd2797643b049adb3ab1aed70e50f7e
Other Identifiers
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0275446
