TABLE 1.
Evaluation of our approach versus leading methods on the PMC-15M and NIH ChestX-ray14 datasets.
| Model | PMC-15M dataset | NIH ChestX-ray14 dataset | ||||||
|---|---|---|---|---|---|---|---|---|
| Accuracy | Recall | F1 score | AUC | Accuracy | Recall | F1 score | AUC | |
| DRAEM Gui et al. (2024) | 83.24 0.03 | 78.12 0.02 | 79.45 0.02 | 86.90 0.03 | 88.03 0.02 | 85.74 0.02 | 84.31 0.02 | 89.10 0.02 |
| PaDiM Murakami et al. (2024) | 85.67 0.02 | 81.45 0.03 | 82.91 0.02 | 88.76 0.03 | 87.58 0.03 | 86.01 0.02 | 85.14 0.02 | 87.92 0.02 |
| SPADE Lee et al. (2024) | 81.90 0.02 | 79.32 0.02 | 77.15 0.03 | 85.30 0.02 | 85.04 0.03 | 83.77 0.01 | 81.39 0.02 | 85.80 0.03 |
| AE-SSIM Sun et al. (2024) | 82.45 0.03 | 7,689 0.02 | 79.87 0.02 | 86.01 0.02 | 84.62 0.02 | 80.49 0.03 | 82.75 0.02 | 84.33 0.03 |
| WinCLIP Cao et al. (2024) | 86.39 0.02 | 83.70 0.03 | 84.15 0.02 | 89.55 0.03 | 89.14 0.02 | 87.91 0.03 | 87.58 0.02 | 90.62 0.03 |
| STPM Liang et al. (2025) | 84.73 0.02 | 80.38 0.02 | 81.92 0.02 | 87.45 0.02 | 86.35 0.03 | 84.76 0.02 | 83.87 0.03 | 87.01 0.02 |
| Ours | 89.74 0.02 | 86.95 0.02 | 87.84 0.03 | 92.61 0.02 | 91.86 0.02 | 89.33 0.02 | 90.07 0.03 | 93.15 0.02 |