Dose Prediction Using a Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma With Tomotherapy
PurposeThis study focused on predicting 3D dose distribution at high precision and generated the prediction methods for nasopharyngeal carcinoma patients (NPC) treated with Tomotherapy based on the patient-specific gap between organs at risk (OARs) and planning target volumes (PTVs).MethodsA convolu...
Guardado en:
Autores principales: | Yaoying Liu, Zhaocai Chen, Jinyuan Wang, Xiaoshen Wang, Baolin Qu, Lin Ma, Wei Zhao, Gaolong Zhang, Shouping Xu |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/925c0598303342d7baadf347b825541e |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dosimetric Comparison of Helical Tomotherapy, Volume-Modulated Arc Therapy, and Fixed-Field Intensity-Modulated Radiation Therapy in Locally Advanced Nasopharyngeal Carcinoma
por: Shan Lu, et al.
Publicado: (2021) -
Research Progress of Carotid Artery Injury Caused by Radiotherapy for Nasopharyngeal Carcinoma
por: XIE Zhiwei, et al.
Publicado: (2021) -
Nasopharyngeal Carcinoma: Clinical Achievements and Considerations Among Treatment Options
por: Zheran Liu, et al.
Publicado: (2021) -
Comparison of radiotherapy combined with nimotuzumab vs. chemoradiotherapy for locally recurrent nasopharyngeal carcinoma
por: Jing-Feng Zong, et al.
Publicado: (2021) -
Nasopharyngeal carcinoma – Improving cure with technology and clinical trials
por: Raymond K. Tsang
Publicado: (2020)