Perineural Invasion (PNI) Classification on PNI Imbalanced R
70.78Mean AUCResNet-152
Evaluation results
| Method | Links | |
|---|---|---|
| ResNet-152Implementation=3D, Validation=5-fold cross-validation2026.03 | 70.78 | |
| PattenNetImplementation=3D, Validation=5-fold cross-validation2026.03 | 70.01 | |
| ResNet-50Implementation=3D, Validation=5-fold cross-validation2026.03 | 69.38 | |
| DenseNet-201Implementation=3D, Validation=5-fold cross-validation2026.03 | 69.11 | |
| SwinTransformerImplementation=3D, Validation=5-fold cross-validation2026.03 | 68.29 | |
| EfficientNet-B0Implementation=3D, Validation=5-fold cross-validation2026.03 | 67.98 | |
| DenseNet-121Implementation=3D, Validation=5-fold cross-validation2026.03 | 67.88 | |
| DenseNet-169Implementation=3D, Validation=5-fold cross-validation2026.03 | 67.25 | |
| EfficientNet-B1Implementation=3D, Validation=5-fold cross-validation2026.03 | 67.25 | |
| DenseNet-264Implementation=3D, Validation=5-fold cross-validation2026.03 | 67.12 | |
| ResNet-200Implementation=3D, Validation=5-fold cross-validation2026.03 | 66.87 | |
| EfficientNet-B2Implementation=3D, Validation=5-fold cross-validation2026.03 | 66.23 | |
| EfficientNet-B3Implementation=3D, Validation=5-fold cross-validation2026.03 | 65.33 | |
| ResNet-101Implementation=3D, Validation=5-fold cross-validation2026.03 | 62.84 |