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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...

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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

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