Osteoporosis Diagnosis on Osteoporosis Diagnosis Dataset Site A March 2018-December 2023 (test)
0.8664AccuracyResNet34+MoE
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| ResNet34+MoEPre-train=TP-SwAV, Loss=Lunified2025.06 | 0.8664 | 0.8319 | 0.8886 | 0.8298 | |
| nnFormerPre-train=Alice, Loss=Lclass2025.06 | 0.855 | 0.79 | 0.9038 | 0.8235 | |
| SwinTPre-train=SwinMM, Loss=Lclass2025.06 | 0.8537 | 0.8636 | 0.8486 | 0.8004 | |
| ResNet34Pre-train=TP-SwAV, Loss=Lunified2025.06 | 0.8476 | 0.8144 | 0.8683 | 0.8038 | |
| Swin-UNETRPre-train=None, Loss=Lclass2025.06 | 0.847 | 0.8352 | 0.8536 | 0.7964 | |
| ResNet34Pre-train=TP-SwAV, Loss=Lclass2025.06 | 0.8443 | 0.8094 | 0.866 | 0.7997 | |
| ResNet34Pre-train=None, Loss=Lclass2025.06 | 0.8389 | 0.7686 | 0.8924 | 0.8049 | |
| ResNet34Pre-train=VOCO, Loss=Lclass2025.06 | 0.8383 | 0.7939 | 0.8671 | 0.7945 | |
| ResNet34Pre-train=SWAV, Loss=Lclass2025.06 | 0.8336 | 0.7884 | 0.8628 | 0.7884 | |
| ViTPre-train=MAE, Loss=Lclass2025.06 | 0.8134 | 0.7021 | 0.9299 | 0.7938 |