Medical Image Classification on MedMNIST Breast (test)
92.8AccuracyUMed-LVLM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| UMed-LVLMzero-shot generalization=true2025.01 | 92.8 | 95.2 | |
| MedNNST1Epochs=1002025.04 | 92.3 | — | |
| MedNNST5Epochs=1002025.04 | 92.3 | — | |
| MedNNST10Epochs=1002025.04 | 92.3 | — | |
| PMC-CLIP2025.01 | 91.4 | 94.6 | |
| NASNetEpochs=1002025.04 | 90.4 | — | |
| MedNNST10Epochs=102025.04 | 90.4 | — | |
| MedVInT2025.01 | 90.4 | 93.4 | |
| ResNet18Epochs=1002025.04 | 89.7 | — | |
| ProxylessNASEpochs=1002025.04 | 89.7 | — | |
| OFAEpochs=1002025.04 | 89.3 | — | |
| ResNet50Epochs=1002025.04 | 89.1 | — | |
| DenseNet121Epochs=1002025.04 | 89.1 | — | |
| MNASNetEpochs=1002025.04 | 87.8 | — | |
| SADAE2025.01 | 87.8 | 91.5 | |
| EfficientNetB4Epochs=1002025.04 | 87.2 | — | |
| PNASNetEpochs=1002025.04 | 87.2 | — | |
| MedNNST5Epochs=102025.04 | 87.2 | — | |
| MedNNST1Epochs=102025.04 | 86.5 | — | |
| MobileNetV3Epochs=1002025.04 | 85.9 | — | |
| ResNet18Epochs=102025.04 | 85.9 | — | |
| DWT-CV2025.01 | 85.7 | 89.8 | |
| HardcoreNASEpochs=1002025.04 | 85.3 | — | |
| ProxylessNASEpochs=102025.04 | 84.6 | — | |
| ResNet502025.01 | 84.2 | 86.6 | |
| OFAEpochs=102025.04 | 84.1 | — | |
| EfficientNetB0Epochs=1002025.04 | 83.3 | — | |
| NASNetEpochs=102025.04 | 83.3 | — | |
| PNASNetEpochs=102025.04 | 82.7 | — | |
| DenseNet121Epochs=102025.04 | 82 | — | |
| ResNet50Epochs=102025.04 | 79.5 | — | |
| HardcoreNASEpochs=102025.04 | 79.5 | — | |
| MNASNetEpochs=102025.04 | 78.8 | — | |
| EfficientNetB0Epochs=102025.04 | 77.6 | — | |
| MobileNetV3Epochs=102025.04 | 73.7 | — | |
| EfficientNetB4Epochs=102025.04 | 73.7 | — |