Table 8.

Performance comparisons between different methods on COVID-ChestCT. Bold black text represents the best results.

Methods	$Dice(\%)\uparrow$	$Sens.(\%)\uparrow$	$MAE(\%)\downarrow$
U-Net [11]	$71.86\pm 0.240$	$79.31\pm 0.950$	$0.75\pm 0.012$
UNet+ [9]	$71.62\pm 0.412$	$72.77\pm 5.927$	$0.93\pm 0.173$
Attention U-Net [34]	$70.44\pm 1.420$	$75.27\pm 7.900$	$0.95\pm 0.303$
PSPNet [17]	$65.95\pm 1.979$	$80.95\pm 4.126$	$0.93\pm 0.068$
Deeplabv3 [18]	$59.41\pm 1.213$	$74.27\pm 7.419$	$1.05\pm 0.095$
Inf-Net [6]	$59.63\pm 2.735$	$78.32\pm 0.131$	$1.09\pm 0.107$
SCRN [22]	$68.46\pm 1.345$	$74.33\pm 6.288$	$1.15\pm 0.471$
F3Net [20]	$68.62\pm 0.477$	$83.30\pm 5.989$	$0.83\pm 0.031$
DANet [28]	$71.10\pm 0.731$	$72.45\pm 6.953$	$0.92\pm 0.182$
ACFNet [39]	$68.69\pm 1.979$	$76.36\pm 8.352$	$0.84\pm 0.042$
CE-Net [38]	$73.72\pm 0.583$	$71.38\pm 1.666$	$0.75\pm 0.012$
CPFNet [40]	$\mathbf{74}.\mathbf{65}\pm \mathbf{1}.\mathbf{163}$	$81.24\pm 1.700$	$1.01\pm 0.411$
ResUNet_C${}_2$F(Ours)	$72.81\pm 0.148$	$\mathbf{83}.\mathbf{89}\pm \mathbf{1}.\mathbf{358}$	$\mathbf{0}.\mathbf{74}\pm \mathbf{0}.\mathbf{017}$