Medical Image Segmentation on ACDC MICCAI 2017 (test)
92.75DSCOurs
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OursBackbone=PVTv2-b2, Pre-trained=ImageNet, Batch Size=12, Optimizer=AdamW, Epochs=4002025.12 | 92.75 | 91.18 | 90.4 | 96.67 | |
| DMSA-UNet2025.12 | 92.28 | 90.32 | 90.49 | 96.02 | |
| EMCAD2025.12 | 92.12 | 90.65 | 89.68 | 96.02 | |
| PVT-GCASCADE2025.12 | 91.95 | 90.31 | 89.63 | 95.91 | |
| Cascaded MERIT2025.12 | 91.85 | 90.23 | 89.53 | 95.8 | |
| CSWin-UNet2025.12 | 91.46 | 89.68 | 88.94 | 95.76 | |
| AD-LA Former2025.12 | 90.09 | 88.68 | 88.94 | 95.3 | |
| TransUnet2025.12 | 89.71 | 86.67 | 87.27 | 95.18 | |
| Swin-UNet2025.12 | 88.07 | 85.77 | 84.42 | 94.03 |