Super-Resolution Swin Transformer and Attention Network for Medical CT Imaging

Figure 1

The architecture of the proposed STAN model. The STAN includes the low-frequency feature extraction block (for the extraction of flat area image information), deep feature extraction block (including six ATBs), and high-resolution CT image reconstruction block (for the feature extraction of image edge information).