Classification on Clinical stone image dataset (5-fold cross-validation)
91.91AccuracyUSCNet
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| USCNet2026.04 | 91.91 | 90 | 90.83 | 89.19 | 91.73 | |
| HyMNet2026.04 | 85.66 | 82.81 | 86.23 | 79.66 | 85.76 | |
| TMSS2026.04 | 74.63 | 57.67 | 43.12 | 87.04 | 81.54 | |
| ResNet1012026.04 | 63.97 | 38.75 | 28.44 | 60.47 | 58.05 | |
| ResGANet2026.04 | 62.5 | 47.17 | 44.31 | 46.96 | 56.37 | |
| ResNet502026.04 | 62.13 | 28.96 | 19.26 | 58.33 | 55.03 | |
| SegPrompt2026.04 | 61.27 | 46.94 | 42.2 | 52.87 | 58.52 | |
| StoneNet2026.04 | 59.93 | 57.22 | 49.69 | 40.07 | 50.04 | |
| ResNet342026.04 | 56.25 | 10.43 | 5.5 | 44.9 | 52.75 |