Automation of radiation treatment planning for rectal cancer

PURPOSE: To develop an automated workflow for rectal cancer three‐dimensional conformal radiotherapy (3DCRT) treatment planning that combines deep learning (DL) aperture predictions and forward‐planning algorithms. METHODS: We designed an algorithm to automate the clinical workflow for 3DCRT plannin...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Kai, Das, Prajnan, Olanrewaju, Adenike M., Cardenas, Carlos, Fuentes, David, Zhang, Lifei, Hancock, Donald, Simonds, Hannah, Rhee, Dong Joo, Beddar, Sam, Briere, Tina M., Court, Laurence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512348/
https://www.ncbi.nlm.nih.gov/pubmed/35808871
http://dx.doi.org/10.1002/acm2.13712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512348/
https://www.ncbi.nlm.nih.gov/pubmed/35808871
http://dx.doi.org/10.1002/acm2.13712

Ejemplares similares