WSSS4LUAD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Tumor cell classification | WSSS4LUAD | Accuracy92.06 | 24 | |
| Tile-level classification | WSSS4LUAD | Weighted F1 Score88.2 | 16 | |
| Image Classification | WSSS4LUAD | Top-1 Accuracy90.4 | 9 | |
| Patch-level Histopathology Classification | WSSS4LUAD (5-fold CV) | Macro F176.3 | 7 | |
| Segmentation | WSSS4LUAD (internal held-out) | Dice Score54.1 | 5 | |
| Image Segmentation | WSSS4LUAD | Precision90.21 | 2 | |
| Patch-Level Classification | WSSS4LUAD | Accuracy88.83 | 2 |
Showing 7 of 7 rows