Table 7. Quantitative results of infected areas in the COVID-19 dataset. - - - means no relevant data in the original literature.

Method	ACC	DC	Sen	Sp	Pc	AUC	F1	Sm	Eα	MAE
FCN8s	0.9666	0.6697	0.6692	0.9923	0.6860	0.9485	0.6724	0.7539	0.9134	0.0157
UNET	0.9696	0.7998	0.8052	0.9957	0.8247	0.9347	0.8154	0.8400	0.9390	0.0088
Segnet	0.9684	0.7408	0.7608	0.9937	0.7549	0.9492	0.7558	0.8080	0.9374	0.0125
Squeeze UNET	0.9689	0.7681	0.7827	0.9946	0.7776	0.9446	0.7785	0.8227	0.9326	0.0107
Residual UNET	0.9697	0.7924	0.7905	0.9961	0.8248	0.9444	0.8055	0.8397	0.9324	0.0094
RAD UNET	0.9699	0.7895	0.7625	0.9970	0.8601	0.9419	0.8062	0.8475	0.9328	0.0096
Fan et al. (2020)	- - -	0.7390	0.7250	0.9600	- - -	- - -	- - -	0.8000	0.8940	0.0640
Elharrouss et al. (2020)	- - -	0.7860	0.7110	0.9930	0.8560	- - -	0.7940	- - -	- - -	0.0760
Yan et al. (2020)	- - -	0.7260	0.7510	- - -	0.7260	- - -	- - -	- - -	- - -	- - -
Zhou, Canu & Ruan (2020)	- - -	0.6910	0.8110	0.9720	- - -	- - -	- - -	- - -	- - -	- - -
Chen, Yao & Zhang (2020)	0.8900	- - -	- - -	0.9930	0.9500	- - -	- - -	- - -	- - -	- - -
ADID-UNET	0.9701	0.8031	0.7973	0.9966	0.8476	0.9551	0.8200	0.8509	0.9449	0.0082