Liver and Tumor Segmentation on LiverHccSeg MRI
96Dice Score (Liver)A-QCF-Net
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| A-QCF-NetTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 96 | 85.9 | 5.8 | 11.3 | 1.2 | 2.85 | |
| ResTransUnetTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 95.7 | 85.1 | 6 | 12.2 | 1.3 | 3.05 | |
| Swin UNETRTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 95.5 | 84.7 | 6.2 | 12.6 | 1.35 | 3.15 | |
| MCTHNetTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 95.1 | 84.1 | 6.5 | 13.1 | 1.4 | 3.3 | |
| Cross-Modal Adv.Training Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 95 | 83.8 | 6.6 | 13.3 | 1.45 | 3.4 | |
| FRA-UNet + CRFTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 94.9 | 83.3 | 6.8 | 13.6 | 1.5 | 3.55 | |
| Unpaired via KDTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 94.9 | 83.5 | 6.7 | 13.5 | 1.48 | 3.45 | |
| Attention U-NetTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 94.8 | 83 | 6.9 | 14.1 | 1.6 | 3.7 | |
| Diff4MMLITSTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 94.7 | 82.9 | 6.95 | 14.25 | 1.55 | 3.65 | |
| Unimodal nnU-NetTraining Dataset=LiTS/ATLAS, Fine-tuning=false2025.12 | 94 | 82.4 | 6.1 | 16.1 | 1.45 | 4.05 |