Medical Image Classification on Mura s
79.57AccuracyLoRKD
Evaluation Results
| Method | Links | |
|---|---|---|
| LoRKDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 79.57 | |
| LoRKDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 78.33 | |
| LoRKDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 77.8 | |
| STLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 77.26 | |
| MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 77.09 | |
| MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.91 | |
| Aligned-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.91 | |
| MTL-KDPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.91 | |
| MoCo-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.91 | |
| Aligned-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.9 | |
| BaselinePre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.73 | |
| STL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.73 | |
| BaselinePre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.73 | |
| BaselinePre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.73 | |
| Aligned-MTLPre-train=Med-MT, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.73 | |
| KFPre-train=Med-MT, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 76.73 | |
| MTL-KDPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.55 | |
| FoundationPre-train=MedMnist, Params(M)=23.51, Comp. Ratio=/2024.04 | 76.38 | |
| MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 76.19 | |
| MTL-KDPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 75.84 | |
| MoCo-MTLPre-train=Radimagenet, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 75.49 | |
| KFPre-train=Radimagenet, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 74.96 | |
| MoCo-MTLPre-train=MedMnist, Params(M)=1.25, Comp. Ratio=5.32%2024.04 | 74.95 | |
| KFPre-train=MedMnist, Params(M)=1.60, Comp. Ratio=6.81%2024.04 | 74.77 | |
| FoundationPre-train=Med-MT, Params(M)=23.51, Comp. Ratio=/2024.04 | 71.76 | |
| FoundationPre-train=Radimagenet, Params(M)=23.51, Comp. Ratio=/2024.04 | 71.05 |