Evaluation of deep learning-based deliverable VMAT plan generated by prototype software for automated planning for prostate cancer patients

This study aims to evaluate the dosimetric accuracy of a deep learning (DL)-based deliverable volumetric arc radiation therapy (VMAT) plan generated using DL-based automated planning assistant system (AIVOT, prototype version) for patients with prostate cancer. The VMAT data (cliDose) of 68 patients...

Descripción completa

Detalles Bibliográficos
Autores principales: Kadoya, Noriyuki, Kimura, Yuto, Tozuka, Ryota, Tanaka, Shohei, Arai, Kazuhiro, Katsuta, Yoshiyuki, Shimizu, Hidetoshi, Sugai, Yuto, Yamamoto, Takaya, Umezawa, Rei, Jingu, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Regular paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516733/
https://www.ncbi.nlm.nih.gov/pubmed/37607667
http://dx.doi.org/10.1093/jrr/rrad058

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516733/
https://www.ncbi.nlm.nih.gov/pubmed/37607667
http://dx.doi.org/10.1093/jrr/rrad058

Ejemplares similares