Medical Image Fusion on Harvard dataset Noise degradation
61.71Q_MIDRFusion
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DRFusion2026.04 | 61.71 | 80.78 | 42.58 | 24.36 | 45.95 | 78.92 | |
| RFfusion2026.04 | 60.85 | 80.76 | 25.25 | 12.35 | 51.13 | 55.32 | |
| DDFM2026.04 | 60.25 | 80.75 | 38.4 | 19.08 | 60.78 | 75.32 | |
| U2Fusion2026.04 | 58.3 | 80.69 | 33.79 | 16.58 | 40.95 | 68.27 | |
| VDMUFusion2026.04 | 57.37 | 80.74 | 34.51 | 18.58 | 36.17 | 72.45 | |
| Mask-DiFuser2026.04 | 55 | 80.75 | 42.1 | 20.65 | 34.18 | 76.02 | |
| Text-DiFuse2026.04 | 53.24 | 80.74 | 40.26 | 19.16 | 29.82 | 68.1 | |
| IFCNN2026.04 | 51.64 | 80.67 | 39.02 | 17.91 | 46.11 | 76.15 | |
| MURF2026.04 | 44.56 | 80.61 | 31.99 | 13.8 | 34.84 | 64.31 |