Deep learning‐based auto‐segmentation of clinical target volumes for radiotherapy treatment of cervical cancer

OBJECTIVES: Because radiotherapy is indispensible for treating cervical cancer, it is critical to accurately and efficiently delineate the radiation targets. We evaluated a deep learning (DL)‐based auto‐segmentation algorithm for automatic contouring of clinical target volumes (CTVs) in cervical can...

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Detalles Bibliográficos
Autores principales: Ma, Chen‐Ying, Zhou, Ju‐Ying, Xu, Xiao‐Ting, Guo, Jian, Han, Miao‐Fei, Gao, Yao‐Zong, Du, Hui, Stahl, Johannes N., Maltz, Jonathan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833283/
https://www.ncbi.nlm.nih.gov/pubmed/34807501
http://dx.doi.org/10.1002/acm2.13470

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8833283/
https://www.ncbi.nlm.nih.gov/pubmed/34807501
http://dx.doi.org/10.1002/acm2.13470

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