A probabilistic deep learning model of inter-fraction anatomical variations in radiotherapy

Objective. In radiotherapy, the internal movement of organs between treatment sessions causes errors in the final radiation dose delivery. To assess the need for adaptation, motion models can be used to simulate dominant motion patterns and assess anatomical robustness before delivery. Traditionally...

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Detalles Bibliográficos
Autores principales: Pastor-Serrano, Oscar, Habraken, Steven, Hoogeman, Mischa, Lathouwers, Danny, Schaart, Dennis, Nomura, Yusuke, Xing, Lei, Perkó, Zoltán
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481950/
https://www.ncbi.nlm.nih.gov/pubmed/36958058
http://dx.doi.org/10.1088/1361-6560/acc71d

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481950/
https://www.ncbi.nlm.nih.gov/pubmed/36958058
http://dx.doi.org/10.1088/1361-6560/acc71d

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