Deep learning reveals 3D atherosclerotic plaque distribution and composition

Complications of atherosclerosis are the leading cause of morbidity and mortality worldwide. Various genetically modified mouse models are used to investigate disease trajectory with classical histology, currently the preferred methodology to elucidate plaque composition. Here, we show the strength...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Jurtz, Vanessa Isabell, Skovbjerg, Grethe, Salinas, Casper Gravesen, Roostalu, Urmas, Pedersen, Louise, Hecksher-Sørensen, Jacob, Rolin, Bidda, Nyberg, Michael, van de Bunt, Martijn, Ingvorsen, Camilla
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7726562/
https://ncbi.nlm.nih.gov/pubmed/33299076
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-78632-4
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