Segmentation on Common Carotid Artery Ultrasound Images Dataset
96.31DSC (28.82 dB)FSS-Net
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| FSS-NetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.31 | 96.19 | 96.1 | 96.09 | 95.99 | 95.94 | |
| DoubleUNet-BAMCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.23 | 96.03 | 95.94 | 96 | 96.1 | 95.9 | |
| MHAHF-UNetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.21 | 96.06 | 95.97 | 95.93 | 95.91 | 95.85 | |
| nnU-NetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.16 | 96.14 | 96.07 | 96.03 | 95.96 | 95.92 | |
| FRDD-NetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.15 | 96 | 95.96 | 95.86 | 95.81 | 95.85 | |
| ConDSegCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.11 | 96.06 | 96 | 95.91 | 95.8 | 95.76 | |
| MultiResUNetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 96.09 | 95.95 | 95.88 | 95.81 | 95.82 | 95.77 | |
| DeepLab v3+Condition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 95.99 | 95.87 | 95.82 | 95.74 | 95.67 | 95.57 | |
| TransUNetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 95.65 | 95.37 | 95.5 | 95.3 | 95.44 | 95.38 | |
| MCADS-NetCondition=Noise-trained models, Evaluation=Five-fold cross-validation2026.06 | 95.39 | 95.33 | 95.25 | 95.2 | 95.12 | 95.09 |