A pilot study of machine-learning based automated planning for primary brain tumours

PURPOSE: High-quality radiotherapy (RT) planning for children and young adults with primary brain tumours is essential to minimize the risk of late treatment effects. The feasibility of using automated machine-learning (ML) to aid RT planning in this population has not previously been studied. METHO...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsang, Derek S., Tsui, Grace, McIntosh, Chris, Purdie, Thomas, Bauman, Glenn, Dama, Hitesh, Laperriere, Normand, Millar, Barbara-Ann, Shultz, David B., Ahmed, Sameera, Khandwala, Mohammad, Hodgson, David C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734345/
https://www.ncbi.nlm.nih.gov/pubmed/34991634
http://dx.doi.org/10.1186/s13014-021-01967-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8734345/
https://www.ncbi.nlm.nih.gov/pubmed/34991634
http://dx.doi.org/10.1186/s13014-021-01967-3

Ejemplares similares