LAC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Pathological Image Classification | LaC | F1 Score99.98 | 12 | |
| Pathological Image Classification | LaC | AUC (LaC)99.65 | 12 | |
| Pathological Image Classification | LaC | Accuracy99.99 | 12 | |
| 3D Medical Image Classification | LAC | Accuracy69.71 | 3 | |
| Cerebral Lesion Segmentation | LAC | Dice27.7 | 3 | |
| Vector Optimization (Obtuse Cone) | LAC | Epsilon-F1 Score99 | 3 | |
| Vector Optimization (Right Cone) | LAC | epsilon-F10.99 | 3 | |
| Vector Optimization (Acute Cone) | LAC | Epsilon-F1100 | 3 |
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