Advancing diagnostic performance and clinical usability of neural networks via adversarial training...
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization
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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
Unmasking the decision making process of machine learning models is essential for implementing diagnostic support systems in clinical practice. Here, we demonstrate that adversarially trained models can significantly enhance the usability of pathology detection as compared to their standard counterparts. We let six experienced radiologists rate the...
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Full title
Advancing diagnostic performance and clinical usability of neural networks via adversarial training and dual batch normalization
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TN_cdi_doaj_primary_oai_doaj_org_article_5746063469c74a20ae5ebc74b05a7231
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5746063469c74a20ae5ebc74b05a7231
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-24464-3
