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. 2023 Mar 3;13:1103521. doi: 10.3389/fonc.2023.1103521

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.