| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Large-scale MRI dataset | BFS+DFE+DR (Proposed EDSH framework) | Accuracy0.985 | 25 | 4d ago | |
| BraTS 50% labels (val) | Sensitivity84.8 | 9 | 4d ago | ||
| BraTS full labels (cross-validation) | Trad.+3DSiam+RE | Sensitivity92 | 9 | 4d ago | |
| MRI Brain Tumor Dataset | Accuracy99.3 | 6 | 4d ago | ||
| Glioma dataset primary vs. secondary brain tumor (test) | 3D Vanilla-ViT | AUC95.7 | 5 | 4d ago | |
| Brain Tumor Classification (MRI) Four Classes | Accuracy93.44 | 2 | 4d ago | ||
| Cross-Mixed Custom Dataset | SAETCN | Test Accuracy98.57 | 1 | 4d ago | |
| Figshare and Multiclass Kaggle Dataset Original | Accuracy0.956 | 1 | 4d ago | ||
| Figshare and Multiclass Kaggle Dataset Augmented | Test Accuracy98.12 | 1 | 4d ago | ||
| Nickparvar Brain Tumor MRI Dataset 14 | Squeezed-Eff-Net | Accuracy99.08 | 1 | 4d ago | |
| Kaggle Brain Tumor Dataset Unseen recently updated (test) | EDSH | Accuracy98.8 | 1 | 4d ago | |
| Brain Tumor Dataset | - | - | 0 | 4d ago | |
| Brain tumor MRI dataset (test) | - | - | 0 | 4d ago |
