Artificial intelligence assisted compositional analyses of human abdominal aortic aneurysms ex vivo

Artificial intelligence assisted compositional analyses of human abdominal aortic aneurysms ex vivo

Quantification of histological information from excised human abdominal aortic aneurysm (AAA) specimens may provide essential information on the degree of infiltration of inflammatory cells in different regions of the AAA. Such information will support mechanistic insight in AAA pathology and can be...

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Bibliographic Details
Main Authors: Bjarne Thorsted, Lisette Bjerregaard, Pia S. Jensen, Lars M. Rasmussen, Jes S. Lindholt, Maria Bloksgaard
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Physiology
Subjects:
abdominal aortic aneurysm
neural network
automated histological image analysis
machine learning
cell detection and segmentation
extracellular matrix
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.840965/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.840965/full

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