Table 5.

Performance comparison of the proposed network and the state-of-the-art methods on COVID-19 dataset

Method	F1-score	Sensitivity	Specificity	Accuracy	AUC
Unet	55.85	44.54	96.94	88.03	70.74
Attention Unet	57.80	46.80	96.90	88.39	71.85
BCDU	70.34	62.10	97.03	91.10	70.34
Unet++	64.36	52.44	97.84	90.13	75.14
DeeplabV3+	63.47	58.08	69.96	88.64	76.49
Ours	75.16	74.18	96.16	91.97	83.82

Bold values indicate the best result of each metric