Medical Image Classification on DDI (test)
82.58AccuracyMed-MICN
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Med-MICNBackbone=VGG19, Interpretability=true2024.10 | 82.58 | 81.59 | 76.05 | 78.07 | 75.63 | |
| Med-MICNBackbone=ResNet50, Interpretability=true2024.10 | 81.82 | 76.56 | 76.17 | 76.33 | 76.12 | |
| Med-MICNBackbone=DenseNet169, Interpretability=true2024.10 | 79.55 | 77.68 | 67.64 | 69.79 | 67.64 | |
| DenseNet169Backbone=DenseNet169, Interpretability=false2024.10 | 78.03 | 74.37 | 67.41 | 69.51 | 68.76 | |
| ResNet50Backbone=ResNet50, Interpretability=false2024.10 | 77.27 | 72.37 | 73.19 | 72.77 | 72.51 | |
| VGG19Backbone=VGG19, Interpretability=false2024.10 | 76.52 | 72.92 | 68.54 | 70.12 | 68.8 | |
| DCRBackbone=DCR, Interpretability=true2024.10 | 76.52 | 71.79 | 63.88 | 65.32 | 63.88 | |
| Label Free CBMBackbone=Label Free CBM, Interpretability=true2024.10 | 70.34 | 68.62 | 69.82 | 69.21 | 69.49 |