Classification on BraTS 2020 (test)
0.915AUROCPathoSyn: Diff
Evaluation results
| Method | Links | ||
|---|---|---|---|
| PathoSyn: DiffBackbone=ResNet-50 (2D CNN)2025.12 | 0.915 | 0.045 | |
| PathoSyn: DiffBackbone=DenseNet (2D)2025.12 | 0.91 | 0.044 | |
| PathoSyn: VAE-GANBackbone=ResNet-50 (2D CNN)2025.12 | 0.905 | 0.05 | |
| PathoSyn: DiffBackbone=Swin Transformer2025.12 | 0.905 | 0.043 | |
| PathoSyn: VAE-GANBackbone=DenseNet (2D)2025.12 | 0.9 | 0.048 | |
| PathoSyn: VAE-GANBackbone=Swin Transformer2025.12 | 0.895 | 0.047 | |
| MaskDiff-InpaintBackbone=ResNet-50 (2D CNN)2025.12 | 0.89 | 0.058 | |
| Brain-LDMBackbone=ResNet-50 (2D CNN)2025.12 | 0.885 | 0.06 | |
| MaskDiff-InpaintBackbone=DenseNet (2D)2025.12 | 0.885 | 0.056 | |
| Conventional AugmentationBackbone=ResNet-50 (2D CNN)2025.12 | 0.88 | 0.062 | |
| Brain-LDMBackbone=DenseNet (2D)2025.12 | 0.88 | 0.058 | |
| MaskDiff-InpaintBackbone=Swin Transformer2025.12 | 0.88 | 0.055 | |
| Conventional AugmentationBackbone=DenseNet (2D)2025.12 | 0.875 | 0.06 | |
| Brain-LDMBackbone=Swin Transformer2025.12 | 0.875 | 0.057 | |
| Conventional AugmentationBackbone=Swin Transformer2025.12 | 0.87 | 0.059 | |
| No AugmentationBackbone=ResNet-50 (2D CNN)2025.12 | 0.86 | 0.07 | |
| No AugmentationBackbone=DenseNet (2D)2025.12 | 0.855 | 0.068 | |
| No AugmentationBackbone=Swin Transformer2025.12 | 0.852 | 0.066 |