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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...
Autores principales: | Geng, Jianhao, Zhu, Xianggao, Liu, Zhiyan, Chen, Qi, Bai, Lu, Wang, Shaobin, Li, Yongheng, Wu, Hao, Yue, Haizhen, Du, Yi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
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 |
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