Using multi-centre data to train and validate a knowledge-based model for planning radiotherapy of the head and neck

Using multi-centre data to train and validate a knowledge-based model for planning radiotherapy of the head and neck

Background and purpose: Knowledge-based radiotherapy planning models have been shown to reduce healthy tissue dose and optimisation times, with larger training databases delivering greater robustness. We propose a method of combining knowledge-based models from multiple centres to create a ‘super-mo...

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Bibliographic Details
Main Authors: Miranda Frizzelle, Athanasia Pediaditaki, Christopher Thomas, Christopher South, Reynald Vanderstraeten, Wolfgang Wiessler, Elizabeth Adams, Surendran Jagadeesan, Narinder Lalli
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Radiotherapy
RapidPlan
Head and neck
Knowledge-based planning
Super-Model
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631622000033

Internet

http://www.sciencedirect.com/science/article/pii/S2405631622000033

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