Cargando…
Application of Artificial Intelligence in Radiotherapy of Nasopharyngeal Carcinoma with Magnetic Resonance Imaging
The value of automatic organ-at-risk outlining software for radiotherapy is based on artificial intelligence technology in clinical applications. The accuracy of automatic segmentation of organs at risk (OARs) in radiotherapy for nasopharyngeal carcinoma was investigated. In the automatic segmentati...
Autores principales: | Zhao, Wanlu, Zhang, Desheng, Mao, Xinjian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8828321/ https://www.ncbi.nlm.nih.gov/pubmed/35154619 http://dx.doi.org/10.1155/2022/4132989 |
Ejemplares similares
-
The Efficacy of Radiotherapy for Nasopharyngeal Carcinoma under Magnetic Resonance Imaging
por: Zhang, Hao, et al.
Publicado: (2021) -
Emerging artificial intelligence applications in liver magnetic resonance imaging
por: Hill, Charles E, et al.
Publicado: (2021) -
Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma
por: Yang, Xinggang, et al.
Publicado: (2023) -
Magnetic Resonance Imaging–Detected Intracranial Extension in the T4 Classification Nasopharyngeal Carcinoma with Intensity-Modulated Radiotherapy
por: Cao, Caineng, et al.
Publicado: (2017) -
Application of Artificial Intelligence for Nasopharyngeal Carcinoma Management – A Systematic Review
por: Ng, Wai Tong, et al.
Publicado: (2022)