Deep learning reveals 3D atherosclerotic plaque distribution and composition

Deep learning reveals 3D atherosclerotic plaque distribution and composition

Abstract 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...

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Bibliographic Details
Main Authors: Vanessa Isabell Jurtz, Grethe Skovbjerg, Casper Gravesen Salinas, Urmas Roostalu, Louise Pedersen, Jacob Hecksher-Sørensen, Bidda Rolin, Michael Nyberg, Martijn van de Bunt, Camilla Ingvorsen
Format: Article
Language:English
Published: Nature Publishing Group 2020-12-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-78632-4

Internet

https://doi.org/10.1038/s41598-020-78632-4

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