Medical Image Segmentation on Synapse (test)
86.73DiceRWKV-UNet
Evaluation results
| Method | Links | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| RWKV-UNetResolution=512x5122025.01 | 86.73 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| nnFormer2021.09 | 86.57 | 10.63 | — | 92.04 | 70.17 | 86.57 | 86.25 | 96.84 | 83.35 | 90.51 | 86.83 | — | — | — | — | |
| CLDParameters (M)=75.554, Inference time (s/iter)=39.58, Learning Paradigm=SSL2023.10 | 85.37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransUNetResolution=512x5122025.01 | 84.36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransUNetinput size=512x5122021.09 | 84.36 | — | — | 90.68 | 71.99 | 86.04 | 83.71 | 95.54 | 73.96 | 88.8 | 84.2 | — | — | — | — | |
| SAMed_hResolution=512x5122025.01 | 84.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RWKV-UNet2025.01 | 84.29 | 8.85 | — | 88.71 | 70.39 | 89.58 | 84.36 | 95.7 | 66.58 | 93.54 | 85.49 | — | — | — | — | |
| ParaTransCNN2024.01 | 83.86 | 15.86 | — | 88.12 | 68.97 | 87.99 | 83.84 | 95.01 | 69.79 | 92.71 | 84.43 | — | — | — | — | |
| TFCNs2022.07 | 83.72 | 17.26 | — | 89.69 | 67.75 | 92.11 | 88.3 | 94.74 | 64.08 | 92.22 | 82.84 | 72.78 | — | — | — | |
| PVT-EMCAD-B22025.01 | 83.63 | 15.68 | — | 88.14 | 68.87 | 88.08 | 84.1 | 95.26 | 68.51 | 92.17 | 83.92 | — | — | — | — | |
| OursLabeling Ratio=10%2026.04 | 83.56 | 19.39 | — | — | — | — | — | — | — | — | — | 72.41 | — | — | 20.78 | |
| Segtran2022.07 | 83.02 | 14.73 | — | 87.1 | 62.88 | 92.66 | 90.03 | 95.47 | 61.76 | 91.47 | 83.4 | 72.68 | — | — | — | |
| RWKV-UNet-S2025.01 | 82.93 | 11.01 | — | 88.3 | 65.92 | 88.47 | 84.11 | 95.45 | 66.51 | 91.51 | 83.17 | — | — | — | — | |
| nnU-NetResolution=512x5122025.01 | 82.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MetaSeg-B2025.01 | 82.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransCASCADE2025.01 | 82.68 | 17.34 | — | 86.63 | 68.48 | 87.66 | 84.56 | 94.43 | 65.33 | 90.79 | 83.52 | — | — | — | — | |
| BCPLabeling Ratio=10%2026.04 | 82.68 | 20.87 | — | — | — | — | — | — | — | — | — | 71.09 | — | — | 21.46 | |
| DeepLabv3+Resolution=512x5122025.01 | 82.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAE-Former2024.01 | 82.43 | 17.46 | — | 88.96 | 72.3 | 86.08 | 80.88 | 94.98 | 65.12 | 91.94 | 79.19 | — | — | — | — | |
| TransUNet2022.07 | 82.33 | 19.88 | — | 88.5 | 62.96 | 91.23 | 90.11 | 94.9 | 59.9 | 90.53 | 80.59 | 71.18 | — | — | — | |
| TransCeption2024.01 | 82.24 | 20.89 | — | 87.6 | 71.82 | 86.23 | 80.29 | 95.01 | 65.27 | 91.68 | 80.02 | — | — | — | — | |
| MISSFormer2025.01 | 81.96 | 18.2 | — | 86.99 | 68.65 | 85.21 | 82 | 94.41 | 65.67 | 91.92 | 80.81 | — | — | — | — | |
| MISSFormer2021.09 | 81.96 | 18.2 | — | 86.99 | 68.65 | 85.21 | 82 | 94.41 | 65.67 | 91.92 | 80.81 | — | — | — | — | |
| MISSFormer2024.01 | 81.96 | 18.2 | — | 86.99 | 68.65 | 85.21 | 82 | 94.41 | 65.67 | 91.92 | 80.81 | — | — | — | — | |
| LaplacianFormer#Params (M)=27.542023.08 | 81.9 | 18.66 | — | 86.55 | 71.19 | 84.23 | 80.52 | 94.9 | 64.75 | 91.91 | 81.14 | — | — | — | — | |
| RWKV-UNet-T2025.01 | 81.87 | 11.89 | — | 88.1 | 68.42 | 88.88 | 82.61 | 95.15 | 60.52 | 90.23 | 81.09 | — | — | — | — | |
| U-Net2022.07 | 81.81 | 26.81 | — | 86.99 | 67.31 | 88.64 | 82.81 | 94.15 | 60.99 | 90.5 | 83.1 | 71.21 | — | — | — | |
| Fc-DenseNet2022.07 | 81.62 | 21.83 | — | 86.68 | 66.31 | 88.14 | 82.07 | 95.26 | 61.73 | 92.11 | 80.68 | 70.62 | — | — | — | |
| UNet++Resolution=512x5122025.01 | 81.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| U-Net++2022.07 | 81.6 | 28.31 | — | 88.15 | 67.29 | 86.31 | 83.62 | 94 | 61.71 | 89.51 | 82.18 | 70.48 | — | — | — | |
| Laplacian Former (without bridge)#Params (M)=23.872023.08 | 81.59 | 17.31 | — | 87.41 | 69.57 | 85.22 | 80.46 | 94.68 | 63.71 | 91.47 | 78.23 | — | — | — | — | |
| U-NetResolution=512x5122025.01 | 81.34 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VM-UNet2025.01 | 81.08 | 19.21 | — | 86.4 | 69.41 | 86.16 | 82.76 | 94.17 | 58.8 | 89.51 | 81.4 | — | — | — | — | |
| PVT-CASCADE2025.01 | 81.06 | 20.23 | — | 83.01 | 70.59 | 82.23 | 80.37 | 94.08 | 64.43 | 90.1 | 83.69 | — | — | — | — | |
| AttU-Net2022.07 | 81.05 | 29.09 | — | 89.63 | 67.05 | 88.46 | 77.08 | 94.52 | 56.89 | 92.13 | 82.69 | 70.71 | — | — | — | |
| Attention U-NetResolution=512x5122025.01 | 80.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SS-NetLabeling Ratio=10%2026.04 | 80.87 | 21.96 | — | — | — | — | — | — | — | — | — | 69.59 | — | — | 23.11 | |
| EffFormer#Params (M)=22.312023.08 | 80.79 | 17 | — | 85.81 | 66.89 | 84.1 | 81.81 | 94.8 | 62.25 | 91.05 | 79.58 | — | — | — | — | |
| OursLabeling Ratio=5%2026.04 | 80.72 | 21.22 | — | — | — | — | — | — | — | — | — | 70.76 | — | — | 23.49 | |
| HiFormer-L2025.01 | 80.69 | 19.14 | — | 87.03 | 68.61 | 84.23 | 78.37 | 94.07 | 60.77 | 90.44 | 82.03 | — | — | — | — | |
| U-RWKVvariant=base2025.07 | 80.64 | 26.61 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SelfReg-SwinUnet2025.01 | 80.54 | — | — | 86.07 | 69.65 | 85.12 | 82.58 | 94.18 | 61.08 | 87.42 | 78.22 | — | — | — | — | |
| MS-UNet2025.01 | 80.44 | 18.97 | — | 85.8 | 69.4 | 85.86 | 81.66 | 94.24 | 57.66 | 90.53 | 78.33 | — | — | — | — | |
| HiFormer#Params (M)=25.512023.08 | 80.39 | 14.7 | — | 86.21 | 65.69 | 85.23 | 79.77 | 94.61 | 59.52 | 90.99 | 81.08 | — | — | — | — | |
| HiFormer2024.01 | 80.39 | 14.7 | — | 86.21 | 65.69 | 85.23 | 79.77 | 94.61 | 59.52 | 90.99 | 81.08 | — | — | — | — | |
| TransDeepLab2025.01 | 80.16 | 21.25 | — | 86.04 | 69.16 | 84.08 | 79.88 | 93.53 | 61.19 | 89 | 78.4 | — | — | — | — | |
| Trans DeepLab#Params (M)=21.142023.08 | 80.16 | 21.25 | — | 86.04 | 69.16 | 84.08 | 79.88 | 93.53 | 61.19 | 89 | 78.4 | — | — | — | — | |
| TransDeepLab2024.01 | 80.16 | 21.25 | — | 86.04 | 69.16 | 84.08 | 79.88 | 93.53 | 61.19 | 89 | 78.4 | — | — | — | — | |
| Pyramid AttentionResolution=512x5122025.01 | 80.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Boundary DoU LossModel=Swin-UNet2023.08 | 79.87 | 19.8 | — | — | — | — | — | — | — | — | — | — | 87.78 | — | — | |
| BCPLabeling Ratio=5%2026.04 | 79.61 | 23.08 | — | — | — | — | — | — | — | — | — | 69.17 | — | — | 23.73 | |
| DDANet2022.07 | 79.6 | 21.29 | — | 83.74 | 64.93 | 88.93 | 83.83 | 94.99 | 51.99 | 90.68 | 77.69 | 67.87 | — | — | — | |
| Hc-Mamba2025.01 | 79.58 | 26.34 | — | 89.93 | 67.65 | 84.57 | 78.27 | 95.38 | 52.08 | 89.49 | 79.84 | — | — | — | — | |
| UNETR2021.09 | 79.56 | 22.97 | — | 89.99 | 60.56 | 85.66 | 84.8 | 94.46 | 59.25 | 87.81 | 73.99 | — | — | — | — | |
| Boundary DoU LossModel=TransUNet2023.08 | 79.53 | 27.28 | — | — | — | — | — | — | — | — | — | — | 88.11 | — | — | |
| MC-NetLabeling Ratio=10%2026.04 | 79.24 | 25.02 | — | — | — | — | — | — | — | — | — | 69.79 | — | — | 26.61 | |
| SwinUNet2025.01 | 79.13 | 21.55 | — | 85.47 | 66.53 | 83.28 | 79.61 | 94.29 | 56.58 | 90.66 | 76.6 | — | — | — | — | |
| SwinUNet2021.09 | 79.13 | 21.55 | — | 85.47 | 66.53 | 83.28 | 79.61 | 94.29 | 56.58 | 90.66 | 76.6 | — | — | — | — | |
| Swin-Unet#Params (M)=27.172023.08 | 79.13 | 21.55 | — | 85.47 | 66.53 | 83.28 | 79.61 | 94.29 | 56.58 | 90.66 | 76.6 | — | — | — | — | |
| Swin U-Net2024.01 | 79.13 | 21.55 | — | 85.47 | 66.53 | 83.28 | 79.61 | 94.29 | 56.58 | 90.66 | 76.6 | — | — | — | — | |
| UA-MTLabeling Ratio=10%2026.04 | 78.75 | 22.04 | — | — | — | — | — | — | — | — | — | 62.73 | — | — | 24.67 | |
| Boundary DoU LossModel=UNet2023.08 | 78.68 | 26.29 | — | — | — | — | — | — | — | — | — | — | 87.08 | — | — | |
| MT-UNet2025.01 | 78.59 | 26.59 | — | 87.92 | 64.99 | 81.47 | 77.29 | 93.06 | 59.46 | 87.75 | 76.81 | — | — | — | — | |
| ConvUNeXt2025.07 | 78.55 | 26.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LeVit-Unet-3842025.01 | 78.53 | 16.84 | — | 87.33 | 62.23 | 84.61 | 80.25 | 93.11 | 59.07 | 88.86 | 72.76 | — | — | — | — | |
| LeVit-UNet-384s2021.09 | 78.53 | 16.84 | — | 87.33 | 62.23 | 84.61 | 80.25 | 93.11 | 59.07 | 88.86 | 72.76 | — | — | — | — | |
| LeVit-Unet#Params (M)=52.172023.08 | 78.53 | 16.84 | — | 78.53 | 62.23 | 84.61 | 80.25 | 93.11 | 59.07 | 88.86 | 72.76 | — | — | — | — | |
| Dice LossModel=TransUNet2023.08 | 78.52 | 28.84 | — | — | — | — | — | — | — | — | — | — | 87.34 | — | — | |
| TransNorm2024.01 | 78.4 | 30.25 | — | 86.23 | 65.1 | 82.18 | 78.63 | 94.22 | 55.34 | 89.5 | 76.01 | — | — | — | — | |
| Res-UNet2022.07 | 78.33 | 58.66 | — | 86.16 | 59.63 | 86.55 | 83.93 | 94.49 | 48.94 | 86.96 | 79.96 | 66.61 | — | — | — | |
| Dice + CE LossModel=Swin-UNet2023.08 | 78.3 | 24.71 | — | — | — | — | — | — | — | — | — | — | 86.72 | — | — | |
| UCTransNet2025.01 | 78.23 | 26.75 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Dice + CE LossModel=TransUNet2023.08 | 78.19 | 29.3 | — | — | — | — | — | — | — | — | — | — | 87.18 | — | — | |
| TransClaw U-Net2025.01 | 78.09 | 26.38 | — | 85.87 | 61.38 | 84.83 | 79.36 | 94.28 | 57.65 | 87.74 | 73.55 | — | — | — | — | |
| TransClaw U-Net2021.09 | 78.09 | 26.38 | — | 85.87 | 61.38 | 84.83 | 79.36 | 94.28 | 57.65 | 87.74 | 73.55 | — | — | — | — | |
| Dice LossModel=Swin-UNet2023.08 | 77.98 | 25.95 | — | — | — | — | — | — | — | — | — | — | 86.19 | — | — | |
| CMUNeXt2025.07 | 77.95 | 24.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SS-NetLabeling Ratio=5%2026.04 | 77.95 | 24.38 | — | — | — | — | — | — | — | — | — | 69.25 | — | — | 25.61 | |
| Att-UNet#Params (M)=34.92023.08 | 77.77 | 36.02 | — | 89.55 | 68.88 | 77.98 | 71.11 | 93.57 | 58.04 | 87.3 | 75.75 | — | — | — | — | |
| Att-UNet2024.01 | 77.77 | 36.02 | — | 89.55 | 68.88 | 77.98 | 71.11 | 93.57 | 58.04 | 87.3 | 75.75 | — | — | — | — | |
| TransUNet2025.07 | 77.54 | 38.78 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TransUNet2025.01 | 77.48 | 31.69 | — | 87.23 | 63.16 | 81.87 | 77.02 | 94.08 | 55.86 | 85.08 | 75.62 | — | — | — | — | |
| TransUNetinput size=default2021.09 | 77.48 | 31.69 | — | 87.23 | 63.16 | 81.87 | 77.02 | 94.08 | 55.86 | 85.08 | 75.62 | — | — | — | — | |
| TransUNet#Params (M)=105.282023.08 | 77.48 | 31.69 | — | 87.23 | 63.13 | 81.87 | 77.02 | 94.08 | 55.86 | 85.08 | 75.62 | — | — | — | — | |
| TransUNet2024.01 | 77.48 | 31.69 | — | 87.23 | 63.13 | 81.87 | 77.02 | 94.08 | 55.86 | 85.08 | 75.62 | — | — | — | — | |
| U-Net2025.07 | 77.1 | 29.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MC-NetLabeling Ratio=5%2026.04 | 76.99 | 26.41 | — | — | — | — | — | — | — | — | — | 67.76 | — | — | 28.14 | |
| U-Net2025.01 | 76.85 | 39.7 | — | 89.07 | 69.72 | 77.77 | 68.6 | 93.43 | 53.98 | 86.67 | 75.58 | — | — | — | — | |
| U-Net#Params (M)=14.82023.08 | 76.85 | 39.7 | — | 89.07 | 69.72 | 77.77 | 68.6 | 93.43 | 53.98 | 86.67 | 75.58 | — | — | — | — | |
| U-Net2024.01 | 76.85 | 39.7 | — | 89.07 | 69.72 | 77.77 | 68.6 | 93.43 | 53.98 | 86.67 | 75.58 | — | — | — | — | |
| Boundary LossModel=TransUNet2023.08 | 76.82 | 31.88 | — | — | — | — | — | — | — | — | — | — | 86.66 | — | — | |
| Dice + CE LossModel=UNet2023.08 | 76.77 | 30.2 | — | — | — | — | — | — | — | — | — | — | 86.21 | — | — | |
| Dice LossModel=UNet2023.08 | 76.38 | 31.45 | — | — | — | — | — | — | — | — | — | — | 86.26 | — | — | |
| Boundary LossModel=UNet2023.08 | 76.23 | 34.54 | — | — | — | — | — | — | — | — | — | — | 85.75 | — | — | |
| CMU-Net2025.07 | 76.22 | 29.65 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AttUNet2025.07 | 76.1 | 36.77 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Boundary LossModel=Swin-UNet2023.08 | 76 | 26.74 | — | — | — | — | — | — | — | — | — | — | 84.98 | — | — | |
| DTCLabeling Ratio=10%2026.04 | 75.96 | 21.19 | — | — | — | — | — | — | — | — | — | 65.02 | — | — | 20.25 | |
| TinyUnet2025.07 | 75.75 | 32.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| R50 Att-UNetBackbone=ResNet-502024.01 | 75.57 | 36.97 | — | 55.92 | 63.91 | 79.2 | 72.71 | 93.56 | 49.37 | 87.19 | 74.95 | — | — | — | — |