Image-Based Deep Neural Network for Individualizing Radiotherapy Dose Is Transportable Across Health Systems

We developed a deep neural network that queries the lung computed tomography–derived feature space to identify radiation sensitivity parameters that can predict treatment failures and hence guide the individualization of radiotherapy dose. In this article, we examine the transportability of this mod...

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Detalles Bibliográficos
Autores principales: Randall, James, Teo, P. Troy, Lou, Bin, Shah, Jainil, Patel, Jyoti, Kamen, Ali, Abazeed, Mohamed E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2023
Materias:
ORIGINAL REPORTS
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166468/
https://www.ncbi.nlm.nih.gov/pubmed/36652661
http://dx.doi.org/10.1200/CCI.22.00100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10166468/
https://www.ncbi.nlm.nih.gov/pubmed/36652661
http://dx.doi.org/10.1200/CCI.22.00100

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