A Preliminary Experience of Implementing Deep-Learning Based Auto-Segmentation in Head and Neck Cancer: A Study on Real-World Clinical Cases

PURPOSE: While artificial intelligence has shown great promise in organs-at-risk (OARs) auto segmentation for head and neck cancer (HNC) radiotherapy, to reach the level of clinical acceptance of this technology in real-world routine practice is still a challenge. The purpose of this study was to va...

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Detalles Bibliográficos
Autores principales: Zhong, Yang, Yang, Yanju, Fang, Yingtao, Wang, Jiazhou, Hu, Weigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132944/
https://www.ncbi.nlm.nih.gov/pubmed/34026615
http://dx.doi.org/10.3389/fonc.2021.638197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8132944/
https://www.ncbi.nlm.nih.gov/pubmed/34026615
http://dx.doi.org/10.3389/fonc.2021.638197

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