Machine learning-based treatment couch parameter prediction in support of surface guided radiation therapy

PURPOSE: A fully independent, machine learning-based automatic treatment couch parameters prediction was developed to support surface guided radiation therapy (SGRT)-based patient positioning protocols. Additionally, this approach also acts as a quality assurance tool for patient positioning. MATERI...

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Detalles Bibliográficos
Autores principales: De Kerf, Geert, Claessens, Michaël, Mollaert, Isabelle, Vingerhoed, Wim, Verellen, Dirk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418545/
https://www.ncbi.nlm.nih.gov/pubmed/36039333
http://dx.doi.org/10.1016/j.tipsro.2022.08.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418545/
https://www.ncbi.nlm.nih.gov/pubmed/36039333
http://dx.doi.org/10.1016/j.tipsro.2022.08.001

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