Table 3.
Evaluation metrics of different models in MRI data sets.
| Model | Recall | Precision | F1 | IOU | DSC | Params (M) | FLOPS (G) |
|---|---|---|---|---|---|---|---|
| MSRN | 0.945 | 0.893 | 0.918 | 0.853 | 0.834 | 14.27 | 1461.23 |
| MSFCN | 0.936 | 0.881 | 0.906 | 0.841 | 0.874 | 20.38 | 1524.34 |
| FPN | 0.924 | 0.914 | 0.921 | 0.854 | 0.883 | 88.63 | 141.45 |
| SepUNet | 0.932 | 0.927 | 0.928 | 0.867 | 0.895 | 20.32 | 199.26 |
| U-Net | 0.924 | 0.922 | 0.924 | 0.859 | 0.893 | 17.26 | 160.16 |
| Our | 0.926 | 0.932 | 0.929 | 0.867 | 0.929 | 18.60 | 280.22 |