Benign/Malignant Diagnosis on Multi-Center (test)
88.51AccuracyHSQformer-L
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| HSQformer-Lvariant=large2025.02 | 88.51 | 86.51 | 91.57 | 88.94 | 95.04 | |
| HSQformer-Bvariant=base2025.02 | 88.29 | 87.09 | 90.38 | 88.6 | 95.38 | |
| HSQformer-Svariant=small2025.02 | 87.41 | 85.56 | 90.44 | 87.87 | 94.71 | |
| ConvNext2025.02 | 86.39 | 89.18 | 83.38 | 86.02 | 94.45 | |
| PVTv2-B52025.02 | 85.9 | 90.08 | 81.15 | 85.28 | 94.44 | |
| FocalNet2025.02 | 85.85 | 89.78 | 81.36 | 85.24 | 94.45 | |
| ViT2025.02 | 85.55 | 86.16 | 85.06 | 85.57 | 93.57 | |
| SwinTransformer2025.02 | 85.39 | 89.59 | 80.45 | 84.72 | 94.15 | |
| CswinTransformer2025.02 | 85.22 | 90.07 | 79.54 | 84.43 | 94.33 | |
| MPViT2025.02 | 84.82 | 89.75 | 79.15 | 83.96 | 93.97 | |
| Hiera2025.02 | 84.79 | 89.37 | 79.32 | 84.03 | 93.8 | |
| ResNext101Backbone=ResNext1012025.02 | 84.39 | 88.5 | 79.48 | 83.67 | 93.36 | |
| DenseNet201Backbone=DenseNet2012025.02 | 84.22 | 87.84 | 80.07 | 83.54 | 93.3 | |
| ResNet101Backbone=ResNet1012025.02 | 83.52 | 89.1 | 76.81 | 82.46 | 93.02 | |
| ThyNet2025.02 | 83.36 | 88.23 | 77.79 | 82.37 | 93.25 |