CT-Only Radiotherapy: An Exploratory Study for Automatic Dose Prediction on Rectal Cancer Patients Via Deep Adversarial Network

PURPOSE: Current deep learning methods for dose prediction require manual delineations of planning target volume (PTV) and organs at risk (OARs) besides the original CT images. Perceiving the time cost of manual contour delineation, we expect to explore the feasibility of accelerating the radiothera...

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Detalles Bibliográficos
Autores principales: Cui, Jiaqi, Jiao, Zhengyang, Wei, Zhigong, Hu, Xiaolin, Wang, Yan, Xiao, Jianghong, Peng, Xingchen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341484/
https://www.ncbi.nlm.nih.gov/pubmed/35924164
http://dx.doi.org/10.3389/fonc.2022.875661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9341484/
https://www.ncbi.nlm.nih.gov/pubmed/35924164
http://dx.doi.org/10.3389/fonc.2022.875661

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