Medical Image Classification on MedMNIST Derma (test)
84.1AccuracyUMed-LVLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UMed-LVLMzero-shot generalization=true2025.01 | 84.1 | 94.2 | |
| MedVInT2025.01 | 80 | 93.7 | |
| PMC-CLIP2025.01 | 79.8 | 93.4 | |
| MedNNST1Epochs=1002025.04 | 79.7 | — | |
| MedNNST5Epochs=1002025.04 | 79.7 | — | |
| MedNNST10Epochs=1002025.04 | 79.7 | — | |
| MedNNST10Epochs=102025.04 | 77 | — | |
| EfficientNetB0Epochs=1002025.04 | 76.2 | — | |
| MedNNST5Epochs=102025.04 | 76.2 | — | |
| ProxylessNASEpochs=1002025.04 | 76.1 | — | |
| DenseNet121Epochs=1002025.04 | 75.9 | — | |
| SADAE2025.01 | 75.9 | 92.7 | |
| MedNNST1Epochs=102025.04 | 75.5 | — | |
| NASNetEpochs=1002025.04 | 75.4 | — | |
| MobileNetV3Epochs=1002025.04 | 75.1 | — | |
| HardcoreNASEpochs=1002025.04 | 75.1 | — | |
| OFAEpochs=1002025.04 | 75.1 | — | |
| ResNet18Epochs=1002025.04 | 75 | — | |
| ResNet50Epochs=1002025.04 | 75 | — | |
| MNASNetEpochs=1002025.04 | 75 | — | |
| PNASNetEpochs=1002025.04 | 75 | — | |
| DWT-CV2025.01 | 74.8 | 91.7 | |
| EfficientNetB4Epochs=1002025.04 | 74.3 | — | |
| ResNet502025.01 | 73.1 | 91.2 | |
| DenseNet121Epochs=102025.04 | 72.9 | — | |
| PNASNetEpochs=102025.04 | 72.8 | — | |
| ResNet50Epochs=102025.04 | 72.3 | — | |
| OFAEpochs=102025.04 | 72.2 | — | |
| ResNet18Epochs=102025.04 | 72 | — | |
| HardcoreNASEpochs=102025.04 | 72 | — | |
| ProxylessNASEpochs=102025.04 | 71.5 | — | |
| MNASNetEpochs=102025.04 | 71.5 | — | |
| NASNetEpochs=102025.04 | 71 | — | |
| EfficientNetB0Epochs=102025.04 | 70.8 | — | |
| EfficientNetB4Epochs=102025.04 | 68.7 | — | |
| MobileNetV3Epochs=102025.04 | 66.9 | — |