Medical Image Segmentation on REFUGE
0.9462Dice ScoreEviATTA
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| EviATTAType=ATTA, Setting=instance-wise2026.03 | 0.9462 | 5.45 | 0.8988 | 2.26 | |
| SimATTAType=ATTA, Setting=instance-wise2026.03 | 0.9259 | 8.13 | 0.8646 | 3.28 | |
| EntropyType=ATTA, Setting=instance-wise2026.03 | 0.9178 | 10.29 | 0.8526 | 3.73 | |
| EviATTAType=ATTA, Annotation Budget=20%2026.03 | 0.917 | 10.55 | 0.8511 | 3.99 | |
| EviATTAType=ATTA, Annotation Budget=10%2026.03 | 0.9125 | 11.68 | 0.8437 | 4.33 | |
| EATTAType=ATTA, Setting=instance-wise2026.03 | 0.9093 | 13.91 | 0.8391 | 4.48 | |
| EATTAType=ATTA, Annotation Budget=20%2026.03 | 0.9011 | 14.34 | 0.8241 | 5.18 | |
| EntropyType=ATTA, Annotation Budget=20%2026.03 | 0.9009 | 15.35 | 0.8245 | 5.23 | |
| EATTAType=ATTA, Annotation Budget=10%2026.03 | 0.8989 | 16.06 | 0.8212 | 5.5 | |
| SimATTAType=ATTA, Annotation Budget=20%2026.03 | 0.8963 | 17.84 | 0.8176 | 5.83 | |
| EntropyType=ATTA, Annotation Budget=10%2026.03 | 0.8871 | 19.37 | 0.8024 | 6.37 | |
| TENTType=TTA, Setting=instance-wise2026.03 | 0.8857 | 18.49 | 0.8 | 6.45 | |
| SimATTAType=ATTA, Annotation Budget=10%2026.03 | 0.8832 | 19.49 | 0.7964 | 6.57 | |
| RandomType=ATTA, Setting=instance-wise2026.03 | 0.8792 | 17.78 | 0.7911 | 5.94 | |
| GraTaType=TTA2026.03 | 0.8729 | 24.61 | 0.7785 | 8.06 | |
| GraTaType=TTA, Setting=instance-wise2026.03 | 0.8719 | 20.69 | 0.7801 | 7.13 | |
| RandomType=ATTA, Annotation Budget=10%2026.03 | 0.8697 | 23.35 | 0.7754 | 7.64 | |
| RandomType=ATTA, Annotation Budget=20%2026.03 | 0.8667 | 23.69 | 0.7711 | 7.66 | |
| SARType=TTA, Setting=instance-wise2026.03 | 0.8652 | 22.59 | 0.7696 | 7.58 | |
| SPAType=TTA, Setting=instance-wise2026.03 | 0.8589 | 25.29 | 0.759 | 8.33 | |
| TENTType=TTA2026.03 | 0.8571 | 24.71 | 0.7563 | 8.3 | |
| SPAType=TTA2026.03 | 0.8511 | 26.32 | 0.7473 | 8.72 | |
| Whitebox LoRAFoundation Model=MedSAM, Adaptation=Whitebox2024.05 | 0.85 | 19.15 | — | — | |
| Whitebox LoRAFoundation Model=SAM2024.05 | 0.85 | 19.22 | — | — | |
| Whitebox LoRAFoundation Model=MedSAM2024.05 | 0.85 | 19.15 | — | — | |
| SARType=TTA2026.03 | 0.8306 | 27.02 | 0.7182 | 9.23 | |
| COMEType=TTA, Setting=instance-wise2026.03 | 0.8304 | 27.47 | 0.7168 | 9.41 | |
| COMEType=TTA2026.03 | 0.8202 | 28.24 | 0.7022 | 9.71 | |
| SAM-Med2DType=Zero-shot, Setting=instance-wise2026.03 | 0.8108 | 28.61 | 0.6892 | 9.9 | |
| SAM-Med2DType=Zero-shot2026.03 | 0.8108 | 28.61 | 0.6892 | 9.9 | |
| CoTTAType=TTA2026.03 | 0.7939 | 29 | 0.6668 | 9.93 | |
| CoTTAType=TTA, Setting=instance-wise2026.03 | 0.7899 | 28.98 | 0.6615 | 9.94 | |
| SAM32025.10 | 0.6004 | — | — | — | |
| One-Promptsetting=segment everything, mode=zero-shot2023.05 | 0.584 | — | — | — | |
| UniMedVL2025.10 | 0.5586 | — | — | — | |
| MedSAMsetting=segment everything, mode=zero-shot2023.05 | 0.545 | — | — | — | |
| SAM-Med2Dsetting=segment everything, mode=zero-shot2023.05 | 0.52 | — | — | — | |
| MSAsetting=segment everything, mode=zero-shot2023.05 | 0.492 | — | — | — | |
| Medical SAM32025.10 | 0.4471 | — | — | — | |
| BAPSFoundation Model=MedSAM2024.05 | 0.44 | 168.07 | — | — | |
| BAPSFoundation Model=SAM2024.05 | 0.44 | 176.67 | — | — | |
| BAPSFoundation Model=MedSAM2024.05 | 0.44 | 168.07 | — | — | |
| VPFoundation Model=SAM2024.05 | 0.39 | 201.67 | — | — | |
| SAM (ZS)Foundation Model=SAM2024.05 | 0.38 | 214.98 | — | — | |
| TransUNetsetting=segment everything, mode=zero-shot2023.05 | 0.363 | — | — | — | |
| MedSAMFoundation Model=MedSAM, zero-shot=true2024.05 | 0.36 | 214.29 | — | — | |
| VPFoundation Model=MedSAM2024.05 | 0.36 | 214.48 | — | — | |
| MedSAM (ZS)Foundation Model=MedSAM2024.05 | 0.36 | 214.29 | — | — | |
| VPFoundation Model=MedSAM2024.05 | 0.36 | 214.48 | — | — | |
| nnUNetsetting=segment everything, mode=zero-shot2023.05 | 0.349 | — | — | — | |
| MedSegDiffsetting=segment everything, mode=zero-shot2023.05 | 0.319 | — | — | — | |
| Swin-UNetrsetting=segment everything, mode=zero-shot2023.05 | 0.289 | — | — | — |