Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy

PURPOSE: Two‐dimensional radiotherapy is often used to treat cervical cancer in low‐ and middle‐income countries, but treatment planning can be challenging and time‐consuming. Neural networks offer the potential to greatly decrease planning time through automation, but the impact of the wide range o...

Descripción completa

Detalles Bibliográficos
Autores principales: Gay, Skylar S., Kisling, Kelly D., Anderson, Brian M., Zhang, Lifei, Rhee, Dong Joo, Nguyen, Callistus, Netherton, Tucker, Yang, Jinzhong, Brock, Kristy, Jhingran, Anuja, Simonds, Hannah, Klopp, Ann, Beadle, Beth M., Court, Laurence E., Cardenas, Carlos E.
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/PMC10691634/
https://www.ncbi.nlm.nih.gov/pubmed/37670488
http://dx.doi.org/10.1002/acm2.14131

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691634/
https://www.ncbi.nlm.nih.gov/pubmed/37670488
http://dx.doi.org/10.1002/acm2.14131

Ejemplares similares