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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Berlin Heidelberg
2021
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| Materias: | |
| 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 |