Clustering on Neuropathology Tissue Dataset
76.68Global AMIMAD-NP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MAD-NPClustering Method=K-Means, Number of Clusters (k)=52025.12 | 76.68 | 1.2821 | |
| DINOv2 Giant FinetunedClustering Method=K-Means, Number of Clusters (k)=52025.12 | 52.75 | 1.4133 | |
| Prov-GigaPathClustering Method=K-Means, Number of Clusters (k)=52025.12 | 47.32 | 2.0342 | |
| UNI2Clustering Method=K-Means, Number of Clusters (k)=52025.12 | 44.78 | 2.3078 | |
| Virchow2Clustering Method=K-Means, Number of Clusters (k)=52025.12 | 35.97 | 1.2867 | |
| UNIClustering Method=K-Means, Number of Clusters (k)=52025.12 | 29.75 | 1.9559 |