Table 8.

Performance comparison of the proposed network and the state-of-the-art methods on Lung segmentation dataset

Method	F1-score	Sensitivity	Specificity	Accuracy	AUC
Unet	98.45	98.59	99.64	99.46	99.12
R2U-Net	98.33	99.38	99.42	99.42	99.40
Attention Unet	98.14	99.08	99.41	99.35	99.24
BCDU	98.43	99.02	99.55	99.45	99.28
Unet++	97.36	99.36	99.01	99.07	99.18
DeeplabV3+	94.40	99.55	97.63	97.96	98.59
Ours	98.68	98.89	99.68	99.54	99.29

Bold values indicate the best result of each metric