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

Abstract 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...

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Veröffentlicht in:	Journal of radiation research 2023-09, Vol.64 (5), p.842-849
Hauptverfasser:	Kadoya, Noriyuki, Kimura, Yuto, Tozuka, Ryota, Tanaka, Shohei, Arai, Kazuhiro, Katsuta, Yoshiyuki, Shimizu, Hidetoshi, Sugai, Yuto, Yamamoto, Takaya, Umezawa, Rei, Jingu, Keiichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Cancer Cancer patients Care and treatment Prostate cancer Radiotherapy Regular paper Technology application Training
Online-Zugang:	Volltext
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