Anatomical ROIs selected through BDopt classification <i>Wake vs. Sleep.</i>
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Local CNA features were used as the basis of classification. ROIs are listed according to their rank, achieved through recursive kernel elimination. Participation denotes the fraction of training folds in which a given ROI was selected during the classification.
创建时间：
2015-12-02
