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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726562/
https://www.ncbi.nlm.nih.gov/pubmed/33299076
http://dx.doi.org/10.1038/s41598-020-78632-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7726562/
https://www.ncbi.nlm.nih.gov/pubmed/33299076
http://dx.doi.org/10.1038/s41598-020-78632-4

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