A blind randomized validated convolutional neural network for auto‐segmentation of clinical target volume in rectal cancer patients receiving neoadjuvant radiotherapy

BACKGROUND: Delineation of clinical target volume (CTV) for radiotherapy is a time‐consuming and labor‐intensive work. This study aims to propose a novel convolutional neural network (CNN)‐based model for fast auto‐segmentation of CTV. To evaluate its performance and clinical utility, a blind random...

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Detalles Bibliográficos
Autores principales: Wu, Yijun, Kang, Kai, Han, Chang, Wang, Shaobin, Chen, Qi, Chen, Yu, Zhang, Fuquan, Liu, Zhikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Clinical Cancer Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704175/
https://www.ncbi.nlm.nih.gov/pubmed/34811957
http://dx.doi.org/10.1002/cam4.4441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704175/
https://www.ncbi.nlm.nih.gov/pubmed/34811957
http://dx.doi.org/10.1002/cam4.4441

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