Brain Tumor
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | Brain Tumor Br35H5 (test) | AUROC (image-level)96.3 | 57 | |
| Segmentation | Brain Tumor | mIoU81.03 | 22 | |
| Medical Image Segmentation | Brain Tumor | Params (M)4.5 | 14 | |
| Confidence Estimation | Brain Tumor | AURC0.089 | 13 | |
| Anomaly Detection | Brain Tumor (test) | AUC99.9 | 12 | |
| Single-label unlearning | Brain Tumor | Retained Accuracy99.1 | 8 | |
| Single-label Unlearning | Brain Tumor | LPR91.8 | 7 | |
| Label noise detection | Brain Tumor | AUC-PR88 | 6 | |
| Object Detection | Brain Tumor (Downstream) | AP (Box)48.6 | 6 | |
| Semantic Segmentation | Brain Tumor | mIoU91.21 | 6 | |
| Medical Image Segmentation | Brain Tumor (external val) | DSC67.26 | 6 | |
| Object Detection | Brain Tumor (test) | mAP5051.9 | 5 | |
| Image Classification | Brain Tumor | Accuracy Gain0.7 | 3 | |
| 3D Medical Image Segmentation | Brain Tumor MR-FLAIR | DSC0.9249 | 3 | |
| Image Compression | Brain-Tumor (test) | SSIM98.46 | 2 | |
| Image Compression | Brain-Tumor | PSNR (dB)46.79 | 2 |
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