Table 7.
Performance comparison among supervised ResNet-50, supervised Swin Transformer and our self-supervised CLNet.
| Pathway | Model | AUC (%) | Acc (%) | Sen (%) | Spec (%) | Mcc |
|---|---|---|---|---|---|---|
| PD-1 | ResNet-50 | 78.15 | 80.21 | 78.57 | 80.88 | 0.568 |
| Swin Transformer | 80.67 | 79.17 | 85.71 | 76.47 | 0.573 | |
| CLNet (ours) | 86.56 | 84.38 | 92.86 | 80.88 | 0.688 | |
| PD-L1 | ResNet-50 | 75.36 | 77.08 | 70.00 | 82.14 | 0.541 |
| Swin Transformer | 75.00 | 75.00 | 90.00 | 64.29 | 0.543 | |
| CLNet (ours) | 83.93 | 83.33 | 85.00 | 82.14 | 0.671 |
The highest value is in bold.