Medical Image Segmentation on ACDC 100% labeled (test)
91.44DiceU-Net
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| U-NetLabeled Scans=70 (All), Unlabeled Scans=0, Para. (M)=1.81, MACs(G)=2.992023.10 | 91.44 | 84.59 | 4.3 | 0.99 | |
| ASAPBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 88.4 | — | — | — | |
| HLIPBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 88.1 | — | — | — | |
| HEMAEBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 87.8 | — | — | — | |
| fVLMBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 87.7 | — | — | — | |
| SimCroPBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 87.6 | — | — | — | |
| MRMBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 87.3 | — | — | — | |
| PCRLv2Backbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 87 | — | — | — | |
| M3DBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 86.9 | — | — | — | |
| M3AEBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 86.7 | — | — | — | |
| MAEBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 86.5 | — | — | — | |
| CT-CLIPBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 86.3 | — | — | — | |
| Random initBackbone=3D ViT-B [82], Segmentation Framework=UNETR [105], Evaluation Protocol=Fine-tuning2026.05 | 82.6 | — | — | — |