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Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey
Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation of coronary artery disease is time-consuming and challenging. Machine learning (ML) approaches have the potential to ad...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Front Cardiovasc Med |
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| Κύριοι συγγραφείς: | , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Frontiers Media S.A.
2019
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6988816/ https://ncbi.nlm.nih.gov/pubmed/32039237 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fcvm.2019.00172 |
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