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. Author manuscript; available in PMC: 2022 Oct 1.
Published in final edited form as: PET Clin. 2021 Oct;16(4):553–576. doi: 10.1016/j.cpet.2021.06.005

Fig. 3.

Fig. 3.

Network architecture of a Wasserstein CycleGAN (referred to here as CycleWGAN) for supervised image denoising (top) and sample denoising results (bottom). Adapted from Zhou, L., et al., Supervised learning with cyclegan for low-dose FDG PET image denoising. Medical Image Analysis, 2020. 65: p. 101770.