Combining distance and anatomical information for deep-learning based dose distribution predictions for nasopharyngeal cancer radiotherapy planning

PURPOSE: Deep-learning effectively predicts dose distributions in knowledge-based radiotherapy planning. Using anatomical information that includes a structure map and computed tomography (CT) data as input has been proven to work well. The minimum distance from each voxel in normal structures to pl...

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Detalles Bibliográficos
Autores principales: Chen, Xinyuan, Zhu, Ji, Yang, Bining, Chen, Deqi, Men, Kuo, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012276/
https://www.ncbi.nlm.nih.gov/pubmed/36925918
http://dx.doi.org/10.3389/fonc.2023.1041769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10012276/
https://www.ncbi.nlm.nih.gov/pubmed/36925918
http://dx.doi.org/10.3389/fonc.2023.1041769

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