Automated treatment planning for proton pencil beam scanning using deep learning dose prediction and dose‐mimicking optimization

PURPOSE: The purpose of this study is to investigate the use of a deep learning architecture for automated treatment planning for proton pencil beam scanning (PBS). METHODS: A 3‐dimensional (3D) U‐Net model has been implemented in a commercial treatment planning system (TPS) that uses contoured regi...

Descripción completa

Detalles Bibliográficos
Autores principales: Maes, Dominic, Holmstrom, Mats, Helander, Rasmus, Saini, Jatinder, Fang, Christine, Bowen, Stephen R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562035/
https://www.ncbi.nlm.nih.gov/pubmed/37334746
http://dx.doi.org/10.1002/acm2.14065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562035/
https://www.ncbi.nlm.nih.gov/pubmed/37334746
http://dx.doi.org/10.1002/acm2.14065

Ejemplares similares