Table 1 Statistical analysis representation for precision, recall, and F1-score of Normal retina and different AMD grades for all of the training models using SGD optimizer.

	Normal	Intermediate	GA	Wet
SA + ResNet50
Precision	0.97	0.94	1.00	0.94
Recall	0.97	0.97	1.00	0.91
F1-Score	0.97	0.95	1.00	0.92
ResNet50
Precision	0.93	0.78	0.94	0.8
Recall	0.84	0.9	0.94	0.75
F1-Score	0.89	0.84	0.94	0.77
SA + VGG16
Precision	0.93	0.89	0.79	0.97
Recall	0.93	0.94	1.00	0.88
F1-Score	0.93	0.91	0.98	0.92
VGG16
Precision	0.96	0.88	0.89	0.88
Recall	0.9	0.88	0.97	0.85
F1-Score	0.93	0.88	0.93	0.86
SA + Inception
Precision	0.91	0.89	1.00	0.97
Recall	0.97	0.97	0.97	0.85
F1-Score	0.97	0.93	0.98	0.9
Inception
Precision	0.85	0.88	0.97	0.93
Recall	0.93	0.91	0.97	0.82
F1-Score	0.89	0.9	0.97	0.87
SA + ResNet101
Precision	0.88	0.79	0.97	0.96
Recall	0.93	0.91	0.97	0.76
F1-Score	0.90	0.85	0.97	0.85
ResNet101
Precision	0.93	0.87	0.97	0.77
Recall	0.87	0.79	0.94	0.91
F1-Score	0.90	0.83	0.95	0.83
SA + VGG19
Precision	0.85	0.78	0.89	0.91
Recall	0.93	0.85	1.00	0.64
F1-Score	0.89	0.81	0.94	0.75
VGG19
Precision	0.97	0.91	0.97	0.97
Recall	0.93	0.94	1.00	0.94
F1-Score	0.95	0.93	0.98	0.95
SA + ResNet18
Precision	0.81	0.73	1.00	0.68
Recall	0.87	0.73	0.91	0.70
F1-Score	0.84	0.73	0.95	0.69
ResNet18
Precision	0.74	0.66	0.93	0.59
Recall	0.83	0.64	0.81	0.61
F1-Score	0.78	0.65	0.87	0.60

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