Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and...
Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
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Publisher
London: Nature Publishing Group UK
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Language
English
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London: Nature Publishing Group UK
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Contents
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation and scatter correction for CT-free PET imaging, a critical bottleneck is their limited capability in handling large heterogeneity of tracers and scanners of PET imaging. This study employs a simple way to integrate domain knowledge in DL for CT-free P...
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Using domain knowledge for robust and generalizable deep learning-based CT-free PET attenuation and scatter correction
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TN_cdi_doaj_primary_oai_doaj_org_article_2669a4cebe2441658deeaa6f5c04e23d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_2669a4cebe2441658deeaa6f5c04e23d
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-022-33562-9
