A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

•A deep learning network facilitated dose calculation from CBCT.•A single network achieved CBCT-based dose calculation generating synthetic CT for head-and-neck, lung, and breast cancer patients with similar performance to a network specifically trained for each anatomical site.•Generation of synthe...

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Bibliographic Details
Published in:	Physics and imaging in radiation oncology Vol. 14; pp. 24 - 31
Main Authors:	Maspero, Matteo, Houweling, Antonetta C., Savenije, Mark H.F., van Heijst, Tristan C.F., Verhoeff, Joost J.C., Kotte, Alexis N.T.J., van den Berg, Cornelis A.T.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.04.2020 Elsevier
Subjects:	Adaptive radiotherapy Artificial intelligence CBCT Deep learning Dose calculation Image-guided radiotherapy Image-to-image translation Machine learning Original Deep learning Image-to-image translation Image-guided radiotherapy Dose calculation Machine learning Artificial intelligence Adaptive radiotherapy CBCT
ISSN:	2405-6316, 2405-6316
Online Access:	Get full text
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