Deep learning-based detection and classification of multi-leaf collimator modeling errors in volumetric modulated radiation therapy

CONCLUSIONS: We demonstrated that the deep learning-based models could feasibly detect and classify TF and DLG errors in VMAT dose distributions, depending on the magnitude of the error, treatment site, and the degree of mimicked measurement doses.PMID:37633834 | DOI:10.1002/acm2.14136

Source: Clinical Prostate Cancer - August 26, 2023 Category: Cancer & Oncology Authors: Sae Nakamura Madoka Sakai Natsuki Ishizaka Kazuki Mayumi Tomotaka Kinoshita Shinya Akamatsu Takayuki Nishikata Shunpei Tanabe Hisashi Nakano Satoshi Tanabe Takeshi Takizawa Takumi Yamada Hironori Sakai Motoki Kaidu Ryuta Sasamoto Hiroyuki Ishikawa Satoru Source Type: research