Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced c...
Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Self-supervised learning has become the cornerstone of building generalizable and transferable artificial intelligence systems in medical imaging. In particular, contrastive representation learning techniques trained on large multi-modal datasets have demonstrated impressive capabilities of producing highly transferable representations for differen...
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Multi-modal representation learning in retinal imaging using self-supervised learning for enhanced clinical predictions
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TN_cdi_doaj_primary_oai_doaj_org_article_e132d120c2c040fc82016fb1d5498e81
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e132d120c2c040fc82016fb1d5498e81
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-78515-y
