Simulation-Driven Machine Learning for Predicting Stent Expansion in Calcified Coronary Artery

In this work, we integrated finite element (FE) method and machine learning (ML) method to predict the stent expansion in a calcified coronary artery. The stenting procedure was captured in a patient-specific artery model, reconstructed based on optical coherence tomography images. Following FE simu...

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Detalles Bibliográficos
Autores principales: Dong, Pengfei, Ye, Guochang, Kaya, Mehmet, Gu, Linxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328568/
https://www.ncbi.nlm.nih.gov/pubmed/35903558
http://dx.doi.org/10.3390/app10175820

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9328568/
https://www.ncbi.nlm.nih.gov/pubmed/35903558
http://dx.doi.org/10.3390/app10175820

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