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Improved accuracy of myocardial perfusion SPECT for detection of coronary artery disease by machine learning in a large population
OBJECTIVE: We aimed to improve the diagnostic accuracy of myocardial perfusion SPECT (MPS) by integrating clinical data and quantitative image features with machine learning (ML) algorithms. METHODS: 1,181 rest (201)Tl/stress (99m)Tc-sestamibi dual-isotope MPS studies [713 consecutive cases with cor...
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| Autori principali: | , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3732038/ https://ncbi.nlm.nih.gov/pubmed/23703378 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12350-013-9706-2 |
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