Table 4.
Comparison of the diagnosis results of DNN models.
| ResNet50 | RF | DS ensemble | |
|---|---|---|---|
| Sensitivity | 84.24% | 64.67% | 85.87% |
| Specificity | 91.78% | 96.24% | 97.18% |
| Accuracy | 89.57% | 86.72% | 93.77% |
| AUC | 0.955 | 0.904 | 0.979 |
| Misdiagnose | 10.49%, | 13.28% | 6.23% |
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