Fig. 2.

Classification results of multi-site pooling and leave-one-site-out transfer classification. (a) 5-fold multi-site pooling classification results. ** P < .01(two-sample t-test), * P < .05 (two-sample t-test). (b) The comparison of receiver operating characteristic curves of different methods. (c) Leave-one-site-out transfer classification results. (d) t-SNE visualization of the last hidden layer representation in the MsRNN for SZ/HC classification. Here we show the MsRNN's internal representation of SZ and HC by applying t-SNE, a method for visualizing high-dimensional data, to the last hidden layer in the MsRNN of training (Site 1–6: 951 subjects) and testing (Site 7: 149 subjects) samples.