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. 2021 Sep 29;10(19):4488. doi: 10.3390/jcm10194488

Figure 1.

Figure 1

The architecture of the proposed deep convolutional neural networks. The grey block represents the input convolutional layer. The yellow blocks represent the maximum pooling layer or the average pooling layer. The blue blocks are four convolutional basic blocks whose detailed structure is shown at the bottom of the figure. The green block is the final full connected layer used for classification.