Topographic and quantitative correlation of structure and function using deep learning in subclinica...
Topographic and quantitative correlation of structure and function using deep learning in subclinical biomarkers of intermediate age-related macular degeneration
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London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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To examine the morphological impact of deep learning (DL)-quantified biomarkers on point-wise sensitivity (PWS) using microperimetry (MP) and optical coherence tomography (OCT) in intermediate AMD (iAMD). Patients with iAMD were examined by OCT (Spectralis). DL-based algorithms quantified ellipsoid zone (EZ)-thickness, hyperreflective foci (HRF) an...
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Topographic and quantitative correlation of structure and function using deep learning in subclinical biomarkers of intermediate age-related macular degeneration
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TN_cdi_doaj_primary_oai_doaj_org_article_c56a2ad960164f47ba5b60b3aa1a1634
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c56a2ad960164f47ba5b60b3aa1a1634
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-72522-9
