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The Gusarev network for bone suppression used in this study. It is modified from that described by Gusarev et al. (18) by the addition of the batch normalization (37) layer in the ConvBlock. Every 2D convolutional layer (“Conv2d”) uses a filter size (f) of 5×5, a stride (s) of 1 and a padding (p) of 2. The final layer uses a sigmoid activation function to generate the bone-suppressed output image.
