Using prediction models to evaluate magnetic resonance image guided radiation therapy plans

Comprehensive analysis of daily, online adaptive plan quality and safety in magnetic resonance imaging (MRI) guided radiation therapy is critical to its widespread use. Artificial neural network models developed with offline plans created after simulation were used to analyze and compare online plan...

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Detalles Bibliográficos
Autores principales: Thomas, M. Allan, Olick-Gibson, Joshua, Fu, Yabo, Parikh, Parag J., Green, Olga, Yang, Deshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807572/
https://www.ncbi.nlm.nih.gov/pubmed/33458351
http://dx.doi.org/10.1016/j.phro.2020.10.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807572/
https://www.ncbi.nlm.nih.gov/pubmed/33458351
http://dx.doi.org/10.1016/j.phro.2020.10.002

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