A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radi...
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy
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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
Early regression—the regression in tumor volume during the initial phase of radiotherapy (approximately 2 weeks after treatment initiation)—is a common occurrence during radiotherapy. This rapid radiation-induced tumor regression may alter target coordinates, necessitating adaptive radiotherapy (ART). We developed a deep learning-based radiomics (D...
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Full title
A deep learning-based radiomics approach to predict head and neck tumor regression for adaptive radiotherapy
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TN_cdi_doaj_primary_oai_doaj_org_article_3249c9ff1d1c44e3a008bbcacdfbc949
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3249c9ff1d1c44e3a008bbcacdfbc949
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-12170-z
