Large-scale dose evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans

Large-scale dose evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans

Background and purpose: Retrospective dose evaluation for organ-at-risk auto-contours has previously used small cohorts due to additional manual effort required for treatment planning on auto-contours. We aimed to do this at large scale, by a) proposing and assessing an automated plan optimization w...

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Bibliographic Details
Main Authors: Prerak Mody, Merle Huiskes, Nicolas F. Chaves-de-Plaza, Alice Onderwater, Rense Lamsma, Klaus Hildebrandt, Nienke Hoekstra, Eleftheria Astreinidou, Marius Staring, Frank Dankers
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Physics and Imaging in Radiation Oncology
Subjects:
Automated plan optimization
Auto contouring
Dose impact
Robot process automation
Automated plans
Online Access:http://www.sciencedirect.com/science/article/pii/S2405631624000423

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http://www.sciencedirect.com/science/article/pii/S2405631624000423

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