Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation

PURPOSE: Manual clinical target volume (CTV) and gross tumor volume (GTV) delineation for rectal cancer neoadjuvant radiotherapy is pivotal but labor-intensive. This study aims to propose a deep learning (DL)-based workflow towards fully automated clinical target volume (CTV) and gross tumor volume...

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Detalles Bibliográficos
Autores principales: Geng, Jianhao, Zhu, Xianggao, Liu, Zhiyan, Chen, Qi, Bai, Lu, Wang, Shaobin, Li, Yongheng, Wu, Hao, Yue, Haizhen, Du, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557242/
https://www.ncbi.nlm.nih.gov/pubmed/37803462
http://dx.doi.org/10.1186/s13014-023-02350-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557242/
https://www.ncbi.nlm.nih.gov/pubmed/37803462
http://dx.doi.org/10.1186/s13014-023-02350-0

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