Table 1.

Network structures of CNN-MC and CNN-NE in this study.

* The input to the models is a 128 × 128 pixel image patch. BN: batch normalization. LN: layer normalization. Convolutional layers are specified by the kernel size and number of filters. ‘d’ denotes the depth-wise convolution. ‘s2’ denotes the stride-2 operation. The brackets denote ResNet block or ConvNeXt block.