Multichannel Retinal Blood Vessel Segmentation Based on the Combination of Matched Filter and U-Net Network

Table 7

MCC and CAL metrics of existing techniques on the three datasets.

Method	DRIVE		STARE		CHASE_DB1
	MCC	CAL	MCC	CAL	MCC	CAL
Azzopardi et al. (2015) [41]	0.719	0.721	0.698	0.709	0.656	0.608
Orlando et al. (2016) [42]	0.740	0.675	0.726	0.665	0.689	0.571
Dharmawan et al. (2017) [18]	07991	0.8834	0.7959	0.8181	—	—
Yang et al. (2018) [43]	0.725	—	0.662	—	—	—
Strisciuglio et al. (2019) [44]	0.729	0.728	0.698	0.709	0.663	0.620
Khan et al. (2020) [45]	0.739	0.696	0.707	0.566	0.629	0.547
2^nd human observer	0.770	0.771	0.741	0.622	0.626	0.722
Proposed method	0.756	0.796	0.796	0.837	0.566	0.733