Estimation of lung tumor position from multiple anatomical features on 4D‐CT using multiple regressi...
Estimation of lung tumor position from multiple anatomical features on 4D‐CT using multiple regression analysis
About this item
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Publisher
United States: John Wiley & Sons, Inc
Journal title
Language
English
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Publisher
United States: John Wiley & Sons, Inc
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Scope and Contents
Contents
To estimate the lung tumor position from multiple anatomical features on four‐dimensional computed tomography (4D‐CT) data sets using single regression analysis (SRA) and multiple regression analysis (MRA) approach and evaluate an impact of the approach on internal target volume (ITV) for stereotactic body radiotherapy (SBRT) of the lung. Eleven co...
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Full title
Estimation of lung tumor position from multiple anatomical features on 4D‐CT using multiple regression analysis
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7663969
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7663969
Other Identifiers
ISSN
1526-9914
E-ISSN
1526-9914
DOI
10.1002/acm2.12121
