TABLE II. Comparison of Performances With Other State-of-The-Art Networks on COVID Lesion Segmentation on MosMedData.
| Networks | Sensitivity (%) | Precision (%) | Dice (%) | IoU (%) |
|---|---|---|---|---|
| FCN [27] | 78.8 0.23 |
58.9 0.16 |
35.6 0.36 |
29.3 0.45 |
| Unet [16] | 94.3 0.34 |
74.4 0.32 |
50.5 0.26 |
40.3 0.23 |
| Vnet [28] | 84.5 0.42 |
64.6 0.54 |
40.2 0.33 |
36.4 0.26 |
| Unet++ [17] | 78.1 0.15 |
65.1 0.25 |
37.2 0.27 |
33.3 0.32 |
| CPF-Net [29] | 82.4 0.25 |
71.3 0.29 |
48.9 0.21 |
37.6 0.38 |
| COPLE-Net [14] | 85.5 0.18 |
73.1 0.20 |
51.1 0.21 |
41.2 0.38 |
| Mini-SegNet [13] | 81.5 0.25 |
69.1 0.19 |
43.7 0.23 |
35.2 0.38 |
| Inf-Net [12] | 92.8 0.27 |
76.9 0.34 |
51.8 0.31 |
41.6 0.27 |
| TA-SegNet (Prop.) |
99.6 0.09
|
84.8 0.26
|
62.3 0.18
|
51.7 0.29
|



































