| Large-scale MRI dataset | BFS+DFE+DR (Proposed EDSH framework) | Accuracy0.985 | | 25 | 1mo ago |
| MRI Brain Tumor Dataset | | Accuracy99.3 | | 17 | 25d ago |
| Figshare (test) | Optimized Weighted Voting System | Accuracy99.46 | | 11 | 18d ago |
| Kaggle Brain Tumor | KNN, SVM, ResNet50, Xception, CNN-MRI, DenseNet121, ResNet101 (Proposed Method) | Accuracy99.85 | | 10 | 18d ago |
| BraTS 50% labels (val) | | Sensitivity84.8 | | 9 | 1mo ago |
| BraTS full labels (cross-validation) | Trad.+3DSiam+RE | Sensitivity92 | | 9 | 1mo ago |
| TCGA | PM-EF_WG | Oligo Precision77.9 | | 8 | 1mo ago |
| Figshare | EfficientNetV2–MLP Mixer Attention | Precision99.47 | | 5 | 8d ago |
| Glioma dataset primary vs. secondary brain tumor (test) | 3D Vanilla-ViT | AUC95.7 | | 5 | 1mo ago |
| Tumor dataset | FHE-DiCSNN | Run time (s)0.34 | | 4 | 18d ago |
| Brain Tumor Classification (MRI) Four Classes | | Accuracy93.44 | | 3 | 18d ago |
| MRI Brain Tumor Dataset 3000 samples | | Accuracy98 | | 2 | 25d ago |
| MRI Brain Tumor Dataset 3064 samples | | Accuracy98 | | 2 | 25d ago |
| BraTS 2019 | | Accuracy99 | | 2 | 1mo ago |
| MRI Brain Tumor Dataset 150 samples | | Accuracy93 | | 1 | 25d ago |
| MRI Brain Tumor Dataset 4200 samples | VGG-based CNN | Accuracy96 | | 1 | 25d ago |
| BraTS 2018, 2019, 2020 | ResNet50 | Accuracy99.25 | | 1 | 1mo ago |
| BraTS 2021 | | Accuracy99.16 | | 1 | 1mo ago |
| BraTS and Figshare 2018 | | Accuracy96.5 | | 1 | 1mo ago |
| BraTS 2017 | | Accuracy90.87 | | 1 | 1mo ago |
| BraTS 2020 and 2021 | | Accuracy99.6 | | 1 | 1mo ago |
| BraTS 2013 and 2015 | | Accuracy99.25 | | 1 | 1mo ago |
| BraTS 2018 and 2019 | | Accuracy95 | | 1 | 1mo ago |
| BraTS 2018 | | Accuracy94.4 | | 1 | 1mo ago |
| Cross-Mixed Custom Dataset | SAETCN | Test Accuracy98.57 | | 1 | 1mo ago |
