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The liver segmentation stage in ALARM method. Our previously developed convolutional neural network was used to segment liver. The deep network is to convert an input CT slice to a segmentation map, which consists of (1) encoder, (2) large convolutional kernel (LCK) skip connection, and (3) decoder layers. The PatchGAN is employed as the discriminator to provide additional adversarial loss for training the network with the traditional Dice loss.
