Table 6.

Performance comparison of the proposed network and the state-of-the-art methods on CVC-ClinicDB dataset

Method	F1-score	Sensitivity	Specificity	Accuracy	AUC
Unet	71.24	63.03	98.63	95.46	80.83
Attention Unet	74.24	73.97	97.52	95.43	85.74
BCDU	71.12	64.17	98.41	95.36	81.28
Unet++	77.11	77.69	97.67	95.89	87.68
DeeplabV3+	73.75	68.26	98.35	95.67	83.30
Ours	79.98	77.70	98.38	96.53	88.04

Bold values indicate the best result of each metric