Lesion Recognition on XJ-CLI PAS staining
85.3MHGloPath
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GloPath2026.03 | 85.3 | 90.1 | 99.8 | 96.1 | 84.1 | 95.6 | 94.9 | 94.2 | 95.7 | 98.1 | 97.9 | |
| UNI2026.03 | 83.2 | 87.7 | 99.9 | 92.4 | 59.1 | 91.9 | 94.8 | 91.9 | 92.7 | 96.2 | 97.8 | |
| RenalPath2026.03 | 82 | 87.3 | 99.4 | 84.4 | 79.1 | 85.2 | 89.1 | 91.9 | 92 | 92.8 | 97.9 | |
| PLIP2026.03 | 78.9 | 86.2 | 95.4 | 64.9 | 61.9 | 79.4 | 89.8 | 82.7 | 83.9 | 93.5 | 96.6 | |
| CONCH2026.03 | 78.2 | 87 | 99 | 68.3 | 68.6 | 94.2 | 89.6 | 92.3 | 95 | 93.2 | 95.5 | |
| RandomInit2026.03 | 72 | 62.9 | 37.4 | 80.3 | 27.5 | 32.4 | 83.4 | 66.4 | 32.1 | 72 | 88.2 | |
| ImagenetPre2026.03 | 65.3 | 67.5 | 64.3 | 69.9 | 34.3 | 32.3 | 72.2 | 72.7 | 15.4 | 58.8 | 94.5 |