Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using fea...
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement
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Public Library of Science (PLoS)
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English
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Public Library of Science (PLoS)
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In response to the COVID-19 global pandemic, recent research has proposed creating deep learning based models that use chest radiographs (CXRs) in a variety of clinical tasks to help manage the crisis. However, the size of existing datasets of CXRs from COVID-19+ patients are relatively small, and researchers often pool CXR data from multiple sourc...
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Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement
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TN_cdi_doaj_primary_oai_doaj_org_article_e4959b35e66749daa6a8af8430c40f3e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e4959b35e66749daa6a8af8430c40f3e
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E-ISSN
1932-6203
DOI
10.1371/journal.pone.0274098
