Dosimetric assessment of patient dose calculation on a deep learning‐based synthesized computed tomo...
Dosimetric assessment of patient dose calculation on a deep learning‐based synthesized computed tomography image for adaptive radiotherapy
About this item
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Author / Creator
Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
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Publication information
Publisher
United States: John Wiley & Sons, Inc
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Scope and Contents
Contents
Purpose
Dose computation using cone beam computed tomography (CBCT) images is inaccurate for the purpose of adaptive treatment planning. The main goal of this study is to assess the dosimetric accuracy of synthetic computed tomography (CT)‐based calculation for adaptive planning in the upper abdominal region. We hypothesized that deep learning‐b...
Alternative Titles
Full title
Dosimetric assessment of patient dose calculation on a deep learning‐based synthesized computed tomography image for adaptive radiotherapy
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9278692
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9278692
Other Identifiers
ISSN
1526-9914
E-ISSN
1526-9914
DOI
10.1002/acm2.13595
