Medical Image Classification on MedMnist BloodMnist (test)
99AccuracyCUFIT
Evaluation Results
| Method | Links | |
|---|---|---|
| CUFITNoise rate=0.12024.11 | 99 | |
| CUFITNoise rate=0.22024.11 | 98.8 | |
| Co-teachingNoise rate=0.12024.11 | 98.6 | |
| CUFITNoise rate=Mean2024.11 | 98.6 | |
| JoCorNoise rate=0.12024.11 | 98.5 | |
| CoDisNoise rate=0.12024.11 | 98.5 | |
| CUFITNoise rate=0.42024.11 | 98.3 | |
| CUFITNoise rate=0.62024.11 | 98.2 | |
| Co-teachingNoise rate=0.22024.11 | 97.6 | |
| MedNNST5Epochs=1002025.04 | 97.5 | |
| MedNNST10Epochs=1002025.04 | 97.5 | |
| JoCorNoise rate=0.22024.11 | 97.3 | |
| Linear probingNoise rate=0.12024.11 | 97.2 | |
| CoDisNoise rate=0.22024.11 | 97.2 | |
| Linear probingNoise rate=0.22024.11 | 96.7 | |
| MedNNST1Epochs=1002025.04 | 96.6 | |
| DenseNet121Epochs=1002025.04 | 96.4 | |
| ProxylessNASEpochs=1002025.04 | 96.4 | |
| HardcoreNASEpochs=1002025.04 | 96.3 | |
| EfficientNetB4Epochs=1002025.04 | 96.2 | |
| ResNet18Epochs=1002025.04 | 96.2 | |
| MNASNetEpochs=1002025.04 | 96.2 | |
| NASNetEpochs=1002025.04 | 96 | |
| ReinNoise rate=0.12024.11 | 95.9 | |
| PNASNetEpochs=1002025.04 | 95.9 | |
| Linear probingNoise rate=0.42024.11 | 95.8 | |
| MedNNST5Epochs=102025.04 | 95.8 | |
| MedNNST10Epochs=102025.04 | 95.8 | |
| Full-trainingNoise rate=0.12024.11 | 95.4 | |
| Linear probingNoise rate=Mean2024.11 | 95 | |
| MedNNST1Epochs=102025.04 | 94.8 | |
| Co-teachingNoise rate=Mean2024.11 | 94.7 | |
| CoDisNoise rate=Mean2024.11 | 94.3 | |
| JoCorNoise rate=Mean2024.11 | 94 | |
| Full-trainingNoise rate=0.22024.11 | 93.9 | |
| Co-teachingNoise rate=0.42024.11 | 93.7 | |
| CoDisNoise rate=0.42024.11 | 93.5 | |
| OFAEpochs=1002025.04 | 93.4 | |
| PNASNetEpochs=102025.04 | 93.3 | |
| JoCorNoise rate=0.42024.11 | 93 | |
| ProxylessNASEpochs=102025.04 | 92.4 | |
| Full-trainingNoise rate=Mean2024.11 | 92.3 | |
| ResNet50Epochs=1002025.04 | 92.1 | |
| ResNet18Epochs=102025.04 | 91.9 | |
| Full-trainingNoise rate=0.42024.11 | 91.8 | |
| DenseNet121Epochs=102025.04 | 91.6 | |
| NASNetEpochs=102025.04 | 91.5 | |
| Linear probingNoise rate=0.62024.11 | 90.3 | |
| OFAEpochs=102025.04 | 90.3 | |
| ReinNoise rate=0.22024.11 | 89 | |
| Co-teachingNoise rate=0.62024.11 | 88.7 | |
| MobileNetV3Epochs=1002025.04 | 88.6 | |
| CoDisNoise rate=0.62024.11 | 88 | |
| MNASNetEpochs=102025.04 | 88 | |
| Full-trainingNoise rate=0.62024.11 | 87.9 | |
| JoCorNoise rate=0.62024.11 | 87.3 | |
| ResNet50Epochs=102025.04 | 87.3 | |
| EfficientNetB0Epochs=1002025.04 | 87.2 | |
| HardcoreNASEpochs=102025.04 | 84.8 | |
| EfficientNetB4Epochs=102025.04 | 82.8 | |
| MobileNetV3Epochs=102025.04 | 81 | |
| EfficientNetB0Epochs=102025.04 | 75.7 | |
| ReinNoise rate=Mean2024.11 | 75 | |
| ReinNoise rate=0.42024.11 | 69.3 | |
| ReinNoise rate=0.62024.11 | 45.6 |