Fine-Grained Breast Tumor Classification on FAPT-M Dataset
77.64Accuracyclinically guided multimodal framework
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| clinically guided multimodal framework2026.07 | 77.64 | 73.38 | 73.08 | 73.77 | 73.77 | 88.56 | 89.74 | 1.28 | |
| DenseNet2026.07 | 74.64 | 68.62 | 69.08 | 68.58 | 68.58 | 86.66 | 86.81 | 1.01 | |
| Swin2026.07 | 73.93 | 66.97 | 68.12 | 66.76 | 66.76 | 85.89 | 84.11 | 0.81 | |
| EfficientNetV22026.07 | 73.65 | 68.38 | 69.49 | 69.06 | 69.06 | 86.42 | 88.06 | 1.6 | |
| DeiT2026.07 | 73.36 | 67.71 | 67.42 | 68.14 | 68.14 | 86.46 | 87.17 | 1.3 | |
| ResNet2026.07 | 71.37 | 64.19 | 65.16 | 63.56 | 63.56 | 84.33 | 82.05 | 0.82 | |
| CLIP2026.07 | 66.1 | 59.75 | 60.78 | 60.24 | 60.24 | 81.61 | 76.81 | 1.05 | |
| ViT2026.07 | 64.67 | 55.12 | 59.39 | 55.25 | 55.25 | 79.74 | 78.13 | 0.81 |