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Fig. 3 | BMC Neuroscience

Fig. 3

From: Diagnosis of schizophrenia with functional connectome data: a graph-based convolutional neural network approach

Fig. 3

a Overview of Net-Global Covariance Pooling-Attention (Net-GA) block and b architecture of the BrainNet-GA CNN for the classification of SSDs vs. HCs. The Net-GA block consists of the BrainNetCNN (E2E, E2N and N2G filters) combined with global covariance pooling (2nd order pooling) and squeeze-excitation network (attention model). The BrainNet-GA CNN consists of typical convolutional layer plus Net-GA block

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BMC Neuroscience

ISSN: 1471-2202

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