Perineural Invasion (PNI) Classification on PNI R + S (25%)
75.77Mean AUCPattenNet
Evaluation results
| Method | Links | |
|---|---|---|
| PattenNetImplementation=3D, Validation=5-fold cross-validation2026.03 | 75.77 | |
| DenseNet-121Implementation=3D, Validation=5-fold cross-validation2026.03 | 74.43 | |
| SwinTransformerImplementation=3D, Validation=5-fold cross-validation2026.03 | 74.23 | |
| ResNet-50Implementation=3D, Validation=5-fold cross-validation2026.03 | 73.88 | |
| ResNet-200Implementation=3D, Validation=5-fold cross-validation2026.03 | 72.5 | |
| ResNet-152Implementation=3D, Validation=5-fold cross-validation2026.03 | 72.33 | |
| EfficientNet-B3Implementation=3D, Validation=5-fold cross-validation2026.03 | 72.15 | |
| DenseNet-201Implementation=3D, Validation=5-fold cross-validation2026.03 | 71.33 | |
| EfficientNet-B1Implementation=3D, Validation=5-fold cross-validation2026.03 | 71.27 | |
| DenseNet-169Implementation=3D, Validation=5-fold cross-validation2026.03 | 70.21 | |
| ResNet-101Implementation=3D, Validation=5-fold cross-validation2026.03 | 69.89 | |
| DenseNet-264Implementation=3D, Validation=5-fold cross-validation2026.03 | 68.99 | |
| EfficientNet-B2Implementation=3D, Validation=5-fold cross-validation2026.03 | 68.99 | |
| EfficientNet-B0Implementation=3D, Validation=5-fold cross-validation2026.03 | 68.97 |