The feasibility study on the generalization of deep learning dose prediction model for volumetric modulated arc therapy of cervical cancer

PURPOSE: To develop a 3D‐Unet dose prediction model to predict the three‐dimensional dose distribution of volumetric modulated arc therapy (VMAT) for cervical cancer and test the dose prediction performance of the model in endometrial cancer to explore the feasibility of model generalization. METHOD...

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Detalles Bibliográficos
Autores principales: Qilin, Zhang, Peng, Bao, Ang, Qu, Weijuan, Jiang, Ping, Jiang, Hongqing, Zhuang, Bin, Dong, Ruijie, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195039/
https://www.ncbi.nlm.nih.gov/pubmed/35262273
http://dx.doi.org/10.1002/acm2.13583

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9195039/
https://www.ncbi.nlm.nih.gov/pubmed/35262273
http://dx.doi.org/10.1002/acm2.13583

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