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Table 1 Structures of the generator and discriminator, and gradient optimization conditions

From: A cycle generative adversarial network for improving the quality of four-dimensional cone-beam computed tomography images

Optimizer Adam gradient descent method
Minibatch size 1
Initial learning rate 0.0002
Epochs 100
Encoder depth Generator: 3, discriminator: 4
Convolution filter Generator: 32, discriminator: 128
Residual block 6