Research Article
Deep Learning- and Transfer Learning-Based Super Resolution Reconstruction from Single Medical Image
Table 8
Overall comparisons of running time (in milliseconds).
| Image | Methods | NN | Bicubic | Bilinear | SRCNN | The proposed method |
| Number 1 DR | 8.075 | 14.790 | 14.655 | 63579.328 | 63565.847 | Number 2 Ebola | 8.000 | 10.518 | 11.613 | 11244.818 | 11234.735 | Number 3 MRI knee | 7.003 | 12.180 | 12.029 | 19231.110 | 19217.921 | Number 4 CT liver | 7.362 | 11.270 | 12.214 | 36315.960 | 36304.727 | Number 5 PET brain | 8.993 | 9.067 | 12.954 | 1986.092 | 1977.153 | Number 6 Mammography | 6.762 | 12.769 | 11.296 | 17342.371 | 17330.239 | Number 7 Cardiac angiography | 6.123 | 8.940 | 9.965 | 3336.666 | 3328.433 | Number 8 Angiography | 8.929 | 13.580 | 13.626 | 66651.142 | 66638.937 |
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