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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Ithaca: Cornell University Library, arXiv.org
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English
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Publisher
Ithaca: Cornell University Library, arXiv.org
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Contents
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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Full title
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
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TN_cdi_proquest_journals_2740739254
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2740739254
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2211.13606
