Machine learning methodology for high throughput personalized neutron dose reconstruction in mixed neutron + photon exposures

We implemented machine learning in the radiation biodosimetry field to quantitatively reconstruct neutron doses in mixed neutron + photon exposures, which are expected in improvised nuclear device detonations. Such individualized reconstructions are crucial for triage and treatment because neutrons...

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Detalles Bibliográficos
Autores principales: Shuryak, Igor, Turner, Helen C., Pujol-Canadell, Monica, Perrier, Jay R., Garty, Guy, Brenner, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889851/
https://www.ncbi.nlm.nih.gov/pubmed/33597632
http://dx.doi.org/10.1038/s41598-021-83575-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889851/
https://www.ncbi.nlm.nih.gov/pubmed/33597632
http://dx.doi.org/10.1038/s41598-021-83575-5

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