A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity‐modulated radiation therapy treatment plans. METHODS: Eighty cases of early‐stage...

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Detalles Bibliográficos
Autores principales: Chen, Xinyuan, Men, Kuo, Li, Yexiong, Yi, Junlin, Dai, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
THERAPEUTIC INTERVENTIONS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379709/
https://www.ncbi.nlm.nih.gov/pubmed/30367492
http://dx.doi.org/10.1002/mp.13262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7379709/
https://www.ncbi.nlm.nih.gov/pubmed/30367492
http://dx.doi.org/10.1002/mp.13262

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