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Coronary artery properties in atherosclerosis: A deep learning predictive model

In this work an Artificial Neural Network (ANN) was developed to help in the diagnosis of plaque vulnerability by predicting the Young modulus of the core (E ( core )) and the plaque (E ( plaque )) of atherosclerotic coronary arteries. A representative in silico database was constructed to train the...

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Detalles Bibliográficos
Autores principales: Caballero, Ricardo, Martínez, Miguel Ángel, Peña, Estefanía
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113490/
https://www.ncbi.nlm.nih.gov/pubmed/37089419
http://dx.doi.org/10.3389/fphys.2023.1162436