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 |