Benchmarking Automated Machine Learning-Enhanced Planning With Ethos Against Manual and Knowledge-Based Planning for Locally Advanced Lung Cancer

PURPOSE: Currently, there is insufficient guidance for standard fractionation lung planning using the Varian Ethos adaptive treatment planning system and its unique intelligent optimization engine. Here, we address this gap in knowledge by developing a methodology to automatically generate high-qual...

Descripción completa

Detalles Bibliográficos
Autores principales: Pogue, Joel A., Cardenas, Carlos E., Harms, Joseph, Soike, Michael H., Kole, Adam J., Schneider, Craig S., Veale, Christopher, Popple, Richard, Belliveau, Jean-Guy, McDonald, Andrew M., Stanley, Dennis N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Scientific Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344691/
https://www.ncbi.nlm.nih.gov/pubmed/37457825
http://dx.doi.org/10.1016/j.adro.2023.101292

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344691/
https://www.ncbi.nlm.nih.gov/pubmed/37457825
http://dx.doi.org/10.1016/j.adro.2023.101292

Ejemplares similares