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. 2021 Jul 30;11:665807. doi: 10.3389/fonc.2021.665807

Figure 2.

Figure 2

Schematic of the Cycle-GAN network. During training, images from CT domain are translated to MRI domain and reconstructed back to CT domain under the governance of adversarial and cycle consistency loss terms respectively. Co-training of CT-to-MRI and MRI-to-CT models leads to generation of photo-realistic predictions.