A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer pat...
A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients
About this item
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Author / Creator
Publisher
England: Oxford University Press
Journal title
Language
English
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Publication information
Publisher
England: Oxford University Press
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Scope and Contents
Contents
Abstract
The purpose of the study was to compare a 3D convolutional neural network (CNN) with the conventional machine learning method for predicting intensity-modulated radiation therapy (IMRT) dose distribution using only contours in prostate cancer. In this study, which included 95 IMRT-treated prostate cancer patients with available dose dis...
Alternative Titles
Full title
A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6805973
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6805973
Other Identifiers
ISSN
0449-3060
E-ISSN
1349-9157
DOI
10.1093/jrr/rrz051
