Short-Axis PET Image Quality Improvement by Attention CycleGAN Using Total-Body PET

Figure 4

The architecture of each attention submodule. The channel attention module uses both max-pooling outputs and average-pooling outputs with a common convolutional network; the spatial attention module uses two combined outputs converged along the channel axis and forwards them to a convolution layer.

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