Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results.

Zhang, Gongsen; Jiang, Zejun; Zhu, Jian; Wang, Linlin

Zhang, Gongsen; Jiang, Zejun; Zhu, Jian; Wang, Linlin.

Afiliação

Zhang G; Artificial Intelligence Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Jiang Z; Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, No. 440, Jiyan Road, Huaiyin District, Jinan, Shandong, China.
Zhu J; Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Wang L; Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, No. 440, Jiyan Road, Huaiyin District, Jinan, Shandong, China. wanglinlinatjn@163.com.

Radiat Oncol ; 17(1): 179, 2022 11 13.

Article em En | MEDLINE | ID: mdl-36372897

Assuntos

Radioterapia de Intensidade Modulada; Neoplasias do Colo do Útero; Feminino; Humanos; Neoplasias do Colo do Útero/radioterapia; Dosagem Radioterapêutica; Radioterapia de Intensidade Modulada/métodos; Planejamento da Radioterapia Assistida por Computador/métodos

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero / Radioterapia de Intensidade Modulada Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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