Deep learning-based prediction of deliverable adaptive plans for MR-guided adaptive radiotherapy: A feasibility study

PURPOSE: Fast and automated plan generation is desirable in radiation therapy (RT), in particular, for MR-guided online adaptive RT (MRgOART) or real-time (intrafractional) adaptive RT (MRgRART), to reduce replanning time. The purpose of this study is to investigate the feasibility of using deep lea...

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Detalles Bibliográficos
Autores principales: Buchanan, Laura, Hamdan, Saleh, Zhang, Ying, Chen, Xinfeng, Li, X. Allen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889647/
https://www.ncbi.nlm.nih.gov/pubmed/36741025
http://dx.doi.org/10.3389/fonc.2023.939951

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889647/
https://www.ncbi.nlm.nih.gov/pubmed/36741025
http://dx.doi.org/10.3389/fonc.2023.939951

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