Table 2.

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

	Normal	Intermediate	GA	Wet
SA + ResNet50
Precision	0.97	0.94	1.00	1.00
Recall	1.00	1.00	1.00	0.91
F1-Score	0.98	0.97	1.00	0.95
ResNet50
Precision	0.97	0.97	1.00	0.89
Recall	0.93	0.97	0.94	0.97
F1-Score	0.95	0.97	0.97	0.93
SA + VGG16
Precision	0.46	0.45	0.5	0.5
Recall	0.6	0.76	0.47	0.06
F1-Score	0.52	0.57	0.48	0.11
VGG16
Precision	0.44	0.41	0.93	0.41
Recall	0.77	0.27	0.44	0.48
F1-Score	0.56	0.33	0.6	0.44
SA + Inception
Precision	0.94	0.91	1.00	0.94
Recall	0.97	0.94	1.00	0.88
F1-Score	0.95	0.93	1.00	0.91
Inception
Precision	0.94	0.94	1.00	0.97
Recall	0.97	0.97	1.00	0.91
F1-Score	0.95	0.96	1.00	0.94
SA + ResNet101
Precision	0.94	0.86	1.00	0.90
Recall	0.97	0.94	1.00	0.79
F1-Score	0.95	0.90	1.00	0.84
ResNet101
Precision	0.83	0.90	0.94	0.74
Recall	0.97	0.85	0.91	0.70
F1-Score	0.89	0.88	0.92	0.72
SA + VGG19
Precision	0.00	0.35	0.20	0.14
Recall	0.00	0.94	0.03	0.12
F1-Score	0.00	0.51	0.05	0.13
VGG19
Precision	0.40	0.53	0.77	0.47
Recall	0.40	0.64	0.62	0.45
F1-Score	0.40	0.58	0.69	0.46
SA + ResNet18
Precision	0.97	0.94	1.00	0.97
Recall	0.97	1.00	1.00	0.91
F1-Score	0.97	0.97	1.00	0.94
ResNet18
Precision	0.97	0.91	1.00	0.91
Recall	0.97	0.94	1.00	0.88
F1-Score	0.97	0.93	1.00	0.89