A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

With the advancement of treatment modalities in radiation therapy for cancer patients, outcomes have improved, but at the cost of increased treatment plan complexity and planning time. The accurate prediction of dose distributions would alleviate this issue by guiding clinical plan optimization to s...

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Detalles Bibliográficos
Autores principales: Nguyen, Dan, Long, Troy, Jia, Xun, Lu, Weiguo, Gu, Xuejun, Iqbal, Zohaib, Jiang, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355802/
https://www.ncbi.nlm.nih.gov/pubmed/30705354
http://dx.doi.org/10.1038/s41598-018-37741-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6355802/
https://www.ncbi.nlm.nih.gov/pubmed/30705354
http://dx.doi.org/10.1038/s41598-018-37741-x

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