Table 6.

Results of BCR-UNet and other methods on CHASE DB1 dataset.

Models	ACC	SEN	SPE	AUC	F1	IOU	MCC
M-Net (35)	0.9729	0.7922	0.9851	0.9845	-	0.6483	-
AG-UNet (16)	0.9743	0.8186	0.9848	0.9863	-	0.6669	-
RSAN (36)	0.9751	0.8486	0.9836	0.9894	0.8111	-	-
NFN+ (37)	0.9735	0.7933	0.9855	0.9832	-	-	-
Pyramid U-Net (21)	0.9639	0.8035	0.9787	0.9832	-	-	-
SCS-Net (38)	0.9744	0.8365	0.9839	0.9867	-	-	-
Deng et al. (39)	0.9714	0.8541	0.9794	-	-	-	0.7900
Xu et al. (40)	0.9749	0.8477	0.9837	0.9881	-	-	-
U-Net (5)	0.9744	0.8074	0.9856	0.9873	0.7989	0.6652	0.7853
Attention UNet (26)	0.9750	0.8185	0.9856	0.9891	0.8053	0.6740	0.7921
SD-UNet (24)	0.9756	0.8167	0.9863	0.9893	0.8085	0.6786	0.7955
MultiResUNet (27)	0.9755	0.8178	0.9861	0.9891	0.8082	0.6781	0.7952
DRNet (20)	0.9755	0.8298	0.9853	0.9897	0.8100	0.6806	0.7971
BCR-UNet	0.9755	0.8383	0.9847	0.9898	0.8118	0.6832	0.7992

Bold values is the highest scores for the metrics.