Application of dose-volume histogram prediction in biologically related models for nasopharyngeal carcinomas treatment planning

PURPOSE: In this study, we employed a gated recurrent unit (GRU)-based recurrent neural network (RNN) using dosimetric information induced by individual beam to predict the dose-volume histogram (DVH) and investigated the feasibility and usefulness of this method in biologically related models for n...

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Detalles Bibliográficos
Autores principales: Cao, Wufei, Zhuang, Yongdong, Chen, Lixin, Liu, Xiaowei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653901/
https://www.ncbi.nlm.nih.gov/pubmed/32933543
http://dx.doi.org/10.1186/s13014-020-01623-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7653901/
https://www.ncbi.nlm.nih.gov/pubmed/32933543
http://dx.doi.org/10.1186/s13014-020-01623-2

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