Table 6.

The proposed AI method employs CNN and Sum of the Maximal Probabilities on the Modmed Dataset (Test Ratio 9:1).

Network	Num	AUC	ACC	SE	SP
Resnet18	3	0.70	0.94	0.75	0.96
Resnet18	5	0.64	0.94	0.75	0.96
Resnet18	7	0.62	0.96	0.80	0.98
Resnet18	9	0.48	0.96	0.80	0.98
Resnet18	11	0.40	0.98	1.00	0.98
Resnet18	13	0.35	0.98	1.00	0.98
Resnet18	15	0.36	0.98	1.00	0.98
Resnet18	17	0.35	0.98	1.00	0.98
Resnet18	19	0.35	0.98	1.00	0.98
Resnet18	21	0.35	0.98	1.00	0.98
Resnet50	3	0.80	0.96	1.00	0.96
Resnet50	5	0.79	0.98	1.00	0.98
Resnet50	7	0.74	0.98	1.00	0.98
Resnet50	9	0.56	0.98	1.00	0.98
Resnet50	11	0.57	1.00	1.00	1.00
Resnet50	13	0.54	0.98	1.00	0.98
Resnet50	15	0.55	0.98	1.00	0.98
Resnet50	17	0.54	0.98	1.00	0.98
Resnet50	19	0.55	0.98	1.00	0.98
Resnet50	21	0.56	0.98	1.00	0.98
Resnet101	3	0.69	0.92	1.00	0.92
Resnet101	5	0.70	0.92	1.00	0.92
Resnet101	7	0.68	0.92	1.00	0.92
Resnet101	9	0.69	0.92	1.00	0.92
Resnet101	11	0.70	0.94	1.00	0.94
Resnet101	13	0.68	0.94	1.00	0.94
Resnet101	15	0.58	0.94	1.00	0.94
Resnet101	17	0.58	0.94	1.00	0.94
Resnet101	19	0.58	0.94	1.00	0.94
Resnet101	21	0.59	0.94	1.00	0.94
Densenet121	3	0.83	0.88	0.40	0.93
Densenet121	5	0.74	0.88	0.40	0.93
Densenet121	7	0.76	0.90	0.50	0.93
Densenet121	9	0.80	0.90	0.50	0.93
Densenet121	11	0.80	0.90	0.50	0.93
Densenet121	13	0.81	0.92	0.67	0.93
Densenet121	15	0.83	0.94	0.75	0.96
Densenet121	17	0.85	0.96	1.00	0.96
Densenet121	19	0.81	0.96	1.00	0.96
Densenet121	21	0.81	0.96	1.00	0.96