Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy

In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk (OARs) and tumors. However, it is the most time-consuming step as manual delineation is always required from radiation oncologists. Herein, we propose a lightweight deep learning framework for radiotherapy t...

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Detalles Bibliográficos
Autores principales: Shi, Feng, Hu, Weigang, Wu, Jiaojiao, Han, Miaofei, Wang, Jiazhou, Zhang, Wei, Zhou, Qing, Zhou, Jingjie, Wei, Ying, Shao, Ying, Chen, Yanbo, Yu, Yue, Cao, Xiaohuan, Zhan, Yiqiang, Zhou, Xiang Sean, Gao, Yaozong, Shen, Dinggang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630370/
https://www.ncbi.nlm.nih.gov/pubmed/36323677
http://dx.doi.org/10.1038/s41467-022-34257-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630370/
https://www.ncbi.nlm.nih.gov/pubmed/36323677
http://dx.doi.org/10.1038/s41467-022-34257-x

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