Table 3.

The performance of the developed network and three classical networks on the testing sub-group of the MESSIDOR dataset and the whole ORIGA and REFUGE datasets using the mean and standard deviation (SD) of DSC, IOU, BAC, MCC, and Se.

Dataset	Method	DSC	IOU	BAC	MCC	Se
		Mean±SD	Mean±SD	Mean±SD	Mean±SD	Mean±SD
MESSIDOR	U-Net	0.9638±0.0271	0.9314±0.0470	0.9844±0.0137	0.9639±0.0259	0.9695±0.0278
	M-Net	0.9463±0.0449	0.9011±0.0709	0.9804±0.0292	0.9468±0.0416	0.9619±0.0587
	Deeplabv3	0.9557±0.0286	0.9165±0.0497	0.9815±0.0182	0.9558±0.0275	0.9639±0.0367
	The proposed	0.9646±0.0234	0.9326±0.0416	0.9870±0.0123	0.9646±0.0227	0.9748±0.0249
Dataset	Method	DSC	IOU	BAC	MCC	Se
		Mean±SD	Mean±SD	Mean±SD	Mean±SD	Mean±SD
ORIGA	U-Net	0.9374±0.0393	0.8845±0.0640	0.9953±0.0079	0.9386±0.0363	0.9925±0.0162
	M-Net	0.9271±0.0558	0.8680±0.0762	0.9906±0.0235	0.9286±0.0523	0.9833±0.0473
	Deeplabv3	0.9220±0.1145	0.8680±0.1232	0.9764±0.0635	0.9234±0.1100	0.9543±0.1274
	The proposed	0.9392±0.0355	0.8873±0.0589	0.9938±0.0131	0.9401±0.0333	0.9895±0.0264
Dataset	Method	DSC	IOU	BAC	MCC	Se
		Mean±SD	Mean±SD	Mean±SD	Mean±SD	Mean±SD
REFUGE	U-Net	0.9252±0.0516	0.8647±0.0812	0.9555±0.0291	0.9261±0.0494	0.9119±0.0585
	M-Net	0.8935±0.1052	0.8203±0.1375	0.9650±0.0449	0.8970±0.0982	0.9325±0.0905
	Deeplabv3	0.9300±0.0431	0.8719±0.0685	0.9621±0.0272	0.9308±0.0406	0.9251±0.0550
	The proposed	0.9342±0.0458	0.8796±0.0729	0.9627±0.0246	0.9347±0.0434	0.9262±0.0495