Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database

This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease—carotid artery stenosis (CAS), subclavian artery stenosis (SAS), peripheral arterial disease (PAD), and abdomina...

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Detalles Bibliográficos
Autores principales: Jones, G., Parr, J., Nithiarasu, P., Pant, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595223/
https://www.ncbi.nlm.nih.gov/pubmed/34333696
http://dx.doi.org/10.1007/s10237-021-01497-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595223/
https://www.ncbi.nlm.nih.gov/pubmed/34333696
http://dx.doi.org/10.1007/s10237-021-01497-7

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