Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

PURPOSE: The contouring of organs at risk (OARs) in head and neck cancer radiation treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies have applied deep learning (DL) algorithms to automatically contour head and neck OARs. This study aims to conduct a systemati...

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Detalles Bibliográficos
Autores principales: Liu, Peiru, Sun, Ying, Zhao, Xinzhuo, Yan, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621161/
https://www.ncbi.nlm.nih.gov/pubmed/37915046
http://dx.doi.org/10.1186/s12938-023-01159-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10621161/
https://www.ncbi.nlm.nih.gov/pubmed/37915046
http://dx.doi.org/10.1186/s12938-023-01159-y

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