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. 2024 Feb 6;17(1):24–46. doi: 10.1007/s12194-024-00780-3

Fig. 3.

Fig. 3

Overview of the various deep learning architectures for PET image denoising. (a) U-Net model. (b) Multi-modal network using anatomical information. (c) GAN model. (d) Vision Transformer (ViT) model. (e) Swin Transformer image restoration network (SwinIR).

© 2023 SNCSC. Reprinted with permission from Wang et al. [159]