Table 1.

Experimental results on the collected CFI images and six public datasets using the U-net model trained separately on the fundus images, vessel density maps, composite images and local disc patches.

Datasets	No. of images	Color fundus images				Vessel density maps
		IoU	DSC	Acc	Se	IoU	DSC	Acc	Se
CFI	762	0.873	0.923	0.960	0.921	0.687	0.799	0.903	0.809
DIARETDB0	128	0.837	0.898	0.937	0.874	0.684	0.800	0.937	0.878
DIARETDB1	88	0.833	0.904	0.934	0.869	0.686	0.807	0.932	0.869
DRIONS-DB	110	0.818	0.885	0.930	0.862	0.657	0.786	0.859	0.719
DRIVE	40	0.778	0.863	0.895	0.790	0.688	0.802	0.874	0.750
MESSIDOR	1200	0.894	0.940	0.970	0.942	0.739	0.845	0.935	0.874
ORIGA	650	0.864	0.920	0.976	0.954	0.722	0.831	0.938	0.880
Overall	2978	0.874	0.925	0.964	0.930	0.714	0.824	0.924	0.851
Datasets	No. of images	4-channel composite images				Local disc patches
		IoU	DSC	Acc	Se	IoU	DSC	Acc	Se
CFI	762	0.880	0.928	0.967	0.935	0.886	0.935	0.965	0.935
DIARETDB0	128	0.856	0.916	0.947	0.895	0.848	0.909	0.935	0.872
DIARETDB1	88	0.841	0.905	0.936	0.873	0.849	0.916	0.935	0.873
DRIONS-DB	110	0.870	0.923	0.954	0.909	0.885	0.936	0.960	0.924
DRIVE	40	0.766	0.854	0.889	0.778	0.783	0.864	0.896	0.794
MESSIDOR	1200	0.900	0.943	0.970	0.940	0.907	0.949	0.972	0.948
ORIGA	650	0.873	0.930	0.989	0.979	0.889	0.940	0.989	0.984
Overall	2978	0.882	0.931	0.969	0.939	0.891	0.939	0.970	0.944