A generalization performance study on the boosting radiotherapy dose calculation engine based on super-resolution.

Wang, Yewei; Liu, Yaoying; Bai, Yanlin; Zhou, Qichao; Xu, Shouping; Pang, Xueying

Wang, Yewei; Liu, Yaoying; Bai, Yanlin; Zhou, Qichao; Xu, Shouping; Pang, Xueying.

Afiliação

Wang Y; Department of Radiation Physics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
Liu Y; School of Physics, Beihang University, Beijing, China; Manteia Technologies Co, Ltd, Xiamen, Fujian, China; Department of Radiation Oncology, PLA General Hospital, Beijing, China.
Bai Y; Department of Radiation Physics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, China.
Zhou Q; Manteia Technologies Co, Ltd, Xiamen, Fujian, China.
Xu S; Department of Radiation Oncology, PLA General Hospital, Beijing, China.
Pang X; Department of Oncology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China. Electronic address: pangxueying11@163.com.

Z Med Phys ; 2023 Jan 09.

Article em En | MEDLINE | ID: mdl-36631314

Palavras-chave

adaptive radiotherapy; deep learning; dose calculation; generalization performance; super resolution

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Z Med Phys Assunto da revista: RADIOTERAPIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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