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. 2020 Dec 31;17(9):6489–6498. doi: 10.1109/TII.2020.3048391

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] 78.8Inline graphic 0.23 58.9Inline graphic 0.16 35.6Inline graphic 0.36 29.3Inline graphic 0.45
Unet [16] 94.3Inline graphic 0.34 74.4Inline graphic 0.32 50.5Inline graphic 0.26 40.3Inline graphic 0.23
Vnet [28] 84.5Inline graphic 0.42 64.6Inline graphic 0.54 40.2Inline graphic 0.33 36.4Inline graphic 0.26
Unet++ [17] 78.1Inline graphic 0.15 65.1Inline graphic 0.25 37.2Inline graphic 0.27 33.3Inline graphic 0.32
CPF-Net [29] 82.4Inline graphic 0.25 71.3Inline graphic 0.29 48.9Inline graphic 0.21 37.6Inline graphic 0.38
COPLE-Net [14] 85.5Inline graphic 0.18 73.1Inline graphic 0.20 51.1Inline graphic 0.21 41.2Inline graphic 0.38
Mini-SegNet [13] 81.5Inline graphic 0.25 69.1Inline graphic 0.19 43.7Inline graphic 0.23 35.2Inline graphic 0.38
Inf-Net [12] 92.8Inline graphic 0.27 76.9Inline graphic 0.34 51.8Inline graphic 0.31 41.6Inline graphic 0.27
TA-SegNet (Prop.) 99.6Inline graphic 0.09 84.8Inline graphic 0.26 62.3Inline graphic 0.18 51.7Inline graphic 0.29