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Multiclass classification of FDG PET scans for the distinction between Parkinson's disease and atypical parkinsonian syndromes()()
Most available pattern recognition methods in neuroimaging address binary classification problems. Here, we used relevance vector machine (RVM) in combination with booststrap resampling (‘bagging’) for non-hierarchical multiclass classification. The method was tested on 120 cerebral (18)fluorodeoxyg...
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| 主要な著者: | , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2013
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3778264/ https://ncbi.nlm.nih.gov/pubmed/24179839 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.nicl.2013.06.004 |
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