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Quantitative prediction of acute ischemic tissue fate using support vector machine
Accurate and quantitative prediction of ischemic tissue fate could improve clinical decision making in the clinical treatment of acute stroke. The goal of the present study is to explore the novel use of support vector machine (SVM) to predict infarct on a pixel-by-pixel basis using only acute cereb...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2011
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3144979/ https://ncbi.nlm.nih.gov/pubmed/21741624 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.brainres.2011.05.066 |
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