Table 3.
Performance of augmented image-based models on training, internal validation, and external validation images.
| Results of the training and internal validation (N = 317) | Results of the external validation (N = 110) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Augmentation type | Training accuracy (N = 286) | Validation accuracy (N = 31) | Validation loss | Normal (N = 7) | COVID-19 (N = 5) | New COVID-19 (N = 75) | Non-COVID-19 (N = 2) | Pneumonia (N = 16) | Tuberculosis (N = 5) |
| Rotate 120° | 100 | 62 | 1.49 | 14.2 | 20 | 14.67 | 100 | 100 | 100 |
| Rotate 140° | 100 | 81.2 | 0.74 | 100 | 100 | 94.67 | 0 | 93.75 | 0 |