Automated image curation in diabetic retinopathy screening using deep learning
Automated image curation in diabetic retinopathy screening using deep learning
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Diabetic retinopathy (DR) screening images are heterogeneous and contain undesirable non-retinal, incorrect field and ungradable samples which require curation, a laborious task to perform manually. We developed and validated single and multi-output laterality, retinal presence, retinal field and gradability classification deep learning (DL) models...
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Automated image curation in diabetic retinopathy screening using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_746cfe6d9f424c61b871fa675d86464b
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_746cfe6d9f424c61b871fa675d86464b
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-15491-1