A convolutional neural network approach for IMRT dose distribution prediction in prostate cancer patients

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 c...

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Bibliografische gegevens
Gepubliceerd in:J Radiat Res
Hoofdauteurs: Kajikawa, Tomohiro, Kadoya, Noriyuki, Ito, Kengo, Takayama, Yoshiki, Chiba, Takahito, Tomori, Seiji, Nemoto, Hikaru, Dobashi, Suguru, Takeda, Ken, Jingu, Keiichi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2019
Onderwerpen:
Regular Papers
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6805973/
https://ncbi.nlm.nih.gov/pubmed/31322704
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jrr/rrz051
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