Table 7.

Performance comparisons between different methods on UESTC-COVID-19. Bold black text represents the best results.

Methods	$Dice(\%)\uparrow$	$Sens.(\%)\uparrow$	$MAE(\%)\downarrow$
U-Net [11]	$85.48\pm 0.125$	$75.90\pm 3.466$	$0.47\pm 0.060$
UNet+ [9]	$85.13\pm 0.296$	$76.41\pm 1.636$	$0.47\pm 0.010$
Attention U-Net [34]	$84.62\pm 0.539$	$77.04\pm 2.484$	$0.50\pm 0.035$
PSPNet [17]	$82.67\pm 0.248$	$76.45\pm 1.246$	$0.56\pm 0.006$
Deeplabv3 [18]	$80.13\pm 1.212$	$70.88\pm 2.573$	$0.63\pm 0.049$
Inf-Net [6]	$83.26\pm 0.440$	$77.45\pm 1.810$	$0.54\pm 0.015$
SCRN [22]	$83.78\pm 0.402$	$77.75\pm 2.949$	$0.52\pm 0.017$
F3Net [20]	$83.58\pm 0.974$	$78.56\pm 1.178$	$0.53\pm 0.026$
DANet [28]	$85.40\pm 0.745$	$79.40\pm 2.175$	$0.47\pm 0.026$
ACFNet [39]	$84.31\pm 0.435$	$\mathbf{79}.\mathbf{83}\pm \mathbf{1}.\mathbf{799}$	$0.50\pm 0.020$
CE-Net [38]	$85.45\pm 0.420$	$77.38\pm 7.962$	$0.47\pm 0.016$
CPFNet [40]	$85.36\pm 0.182$	$77.35\pm 1.151$	$0.47\pm 0.015$
ResUNet_C${}_2$F(Ours)	$\mathbf{85}.\mathbf{52}\pm \mathbf{0}.\mathbf{081}$	$79.46\pm 2.286$	$\mathbf{0}.\mathbf{47}\pm \mathbf{0}.\mathbf{006}$