Table 4.

Performance comparison between healthy and each diseased class by adopting a sigmoid activation function at the classification layer. (CA: classwise accuracy (%), BACC: Balanced Accuracy (%)).

Input		Class	Precision	Recall	F1 Score	CA	Specificity	Sensitivity	BACC
Simple Images	H vs G	H	0.92	0.83	0.87	82.63	0.82	0.87	84.99
		G	0.74	0.87	0.80	87.35
	H vs DR	H	0.96	0.94	0.95	93.56	0.93	0.94	93.85
		DR	0.90	0.94	0.92	94.14
Concatenated Images	H vs G	H	0.95	0.68	0.79	67.52	0.97	0.93	80.31
		G	0.62	0.93	0.74	93.10
	H vs DR	H	0.94	0.83	0.88	82.95	0.82	0.91	87.21
		DR	0.76	0.91	0.83	91.48
With OD	H vs G	H	0.93	0.82	0.87	81.67	0.81	0.89	85.66
		G	0.73	0.90	0.81	89.65
	H vs DR	H	0.96	0.91	0.94	90.99	0.90	0.94	92.56
		DR	0.86	0.94	0.90	94.14
With vessels	H vs G	H	0.87	0.80	0.83	80.06	0.80	0.78	77.89
		G	0.69	0.79	0.73	75.73
	H vs DR	H	0.93	0.93	0.93	92.60	0.92	0.88	90.71
		DR	0.88	0.89	0.88	88.82
Without feature selection	H vs G	H	0.89	0.81	0.85	81.35	0.81	0.82	82.05
		G	0.71	0.83	0.77	82.75
	H vs DR	H	0.94	0.92	0.93	91.63	0.91	0.89	90.76
		DR	0.87	0.90	0.88	89.89
Proposed* (: 1.0, : 1.0, : 1.0)	H vs G	H	0.95	0.71	0.81	71.38	0.71	0.93	82.24
		G	0.65	0.93	0.76	93.10
	H vs DR	H	0.97	0.88	0.92	88.42	0.88	0.95	92.02
		DR	0.83	0.95	0.89	95.21