Research Article
Cardiac Magnetic Resonance Images Superresolution via Multichannel Residual Attention Networks
Table 1
The feature size of the MCRN for CMR images SR.
| Network components | Kernel size | Stride | Padding | Input size | Output size |
| Initial layer | 33 | 1 | 1 | HW1 | HW64 |
| RAB | | | | | | Conv 1 | 33 | 1 | 1 | HW64 | HW64 | Conv 2 | 11 | 1 | 0 | HW64 | HW4 | Conv 3 | 11 | 1 | 0 | HW4 | HW64 |
| Up-block | | | | | | DeConv | 44 | 2 | 1 | HW64 | HW128 | Conv | 44 | 2 | 1 | HW128 | HW64 | DeConv | 44 | 2 | 1 | HW64 | HW128 |
| Down-block | | | | | | Conv | 44 | 2 | 1 | HW128 | HW64 | DeConv | 44 | 2 | 1 | HW64 | HW128 | Conv | 44 | 2 | 1 | HW128 | HW64 |
| Middle layer | 33 | 1 | 1 | HW64 | HW64 |
| Upsample | 33 | 1 | 1 | HW64 | 2H2 W64 |
| Reconstruction layer | 33 | 1 | 1 | 2H2 W64 | 2H2 W1 |
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