Fig. 1 | Scientific Reports

Fig. 1

From: MAN-GAN: a mask-adaptive normalization based generative adversarial networks for liver multi-phase CT image generation

Fig. 1

The overview of Mask-Adaptive Normalization based Generative Adversarial Networks (MAN-GAN) with Cycle-Consistency Loss for CT translation. (a) The forward and backward cycle-consistency loss are utilized to reduce the space of possible mapping functions. (b) The forward generation includes a MaskNet to synthesize subtraction-image-like mask, a generator to fuse mask with non-contrast CT image and a discriminator to distinguish the real from fake MPECT image.

Back to article page