Collaborative training of medical artificial intelligence models with non-uniform labels
Collaborative training of medical artificial intelligence models with non-uniform labels
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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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Due to the rapid advancements in recent years, medical image analysis is largely dominated by deep learning (DL). However, building powerful and robust DL models requires training with large multi-party datasets. While multiple stakeholders have provided publicly available datasets, the ways in which these data are labeled vary widely. For Instance...
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Collaborative training of medical artificial intelligence models with non-uniform labels
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TN_cdi_doaj_primary_oai_doaj_org_article_8557dbd7a95549b3844383ab0f4fba5e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8557dbd7a95549b3844383ab0f4fba5e
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-33303-y
