Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Mach...
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
In order to generate a machine learning algorithm (MLA) that can support ophthalmologists with the diagnosis of glaucoma, a carefully selected dataset that is based on clinically confirmed glaucoma patients as well as borderline cases (e.g., patients with suspected glaucoma) is required. The clinical annotation of datasets is usually performed at t...
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Full title
Automated Classification of Physiologic, Glaucomatous, and Glaucoma-Suspected Optic Discs Using Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_a45f19a6541543129adb3f05e14679c0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a45f19a6541543129adb3f05e14679c0
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ISSN
2075-4418
E-ISSN
2075-4418
DOI
10.3390/diagnostics14111073
