List your company

Medical Image Segmentation on ACDC (Structure-specific DSC and HD)

92.35DSC (Avg)Deco-Mamba-V1
81.01483.95786.989.843Sep 9, 2023Feb 8, 2024Jul 10, 2024Dec 10, 2024May 11, 2025Oct 11, 2025Mar 13, 2026

Evaluation results

MethodLinks
Deco-Mamba-V1Architecture=Deco-Mamba-V12026.0392.3590.4990.3996.16—
MERIT-GCASCADEaggregation=averaged over five runs2023.1092.2390.6489.9696.08—
FAT-Net + ConvFormerBackbone=FAT-Net, Architecture Modification=ConvFormer2023.0992.1890.6989.5796.2811.32
PVT-EMCAD-B2Architecture=PVT-EMCAD-B22026.0392.1290.6589.6896.02—
HCMUNetArchitecture=HCMUNet2026.0392.1191.590.294.61—
Patcher + ConvFormerBackbone=Patcher, Architecture Modification=ConvFormer2023.0992.0790.9189.5495.7812.29
PVT-GCASCADEaggregation=averaged over five runs2023.1091.9590.3189.6395.91—
FAT-Net + RefinerBackbone=FAT-Net, Architecture Modification=Refiner2023.0991.9490.5489.795.5813.37
Cascaded MERIT2023.1091.8590.2389.5395.8—
Cascaded-MERITArchitecture=Cascaded-MERIT2026.0391.8590.2389.5395.8—
FAT-Net + LayerScaleBackbone=FAT-Net, Architecture Modification=LayerScale2023.0991.7190.0189.3995.7113.5
TransCASCADE2023.1091.6390.2589.1495.5—
FAT-Net + Re-attentionBackbone=FAT-Net, Architecture Modification=Re-attention2023.0991.6189.9989.1895.6414
Deco-Mamba-V0Architecture=Deco-Mamba-V02026.0391.5589.7789.3495.54—
SelfReg-UNet + SwinUnetBase Architecture=SwinUnet2024.0691.4989.4989.2795.7—
FAT-NetBackbone=FAT-Net, Architecture Modification=None2023.0991.4690.1388.6195.613.82
PVT-CASCADEBackbone=PVT2023.1091.4689.9788.995.5—
SelfReg-UNet + UnetBase Architecture=Unet2024.0691.4388.9289.4995.88—
TransUNet + ConvFormerBackbone=TransUNet, Architecture Modification=ConvFormer2023.0991.4290.1788.8495.2513.96
PatcherBackbone=Patcher, Architecture Modification=None2023.0991.4189.5689.1295.5313.55
TransUNet + LayerScaleBackbone=TransUNet, Architecture Modification=LayerScale2023.0991.389.3788.7995.7513.68
Patcher + RefinerBackbone=Patcher, Architecture Modification=Refiner2023.0991.2689.6588.5895.5713.93
TransUNet + Re-attentionBackbone=TransUNet, Architecture Modification=Re-attention2023.0991.2589.9188.6195.2213.79
Patcher + Re-attentionBackbone=Patcher, Architecture Modification=Re-attention2023.0991.2589.7788.5895.3914.49
UCTransNetArchitecture=UCTransNet2026.0391.2588.8589.2895.6—
Swin-UMambaArchitecture=Swin-UMamba2026.0391.1889.3488.9495.26—
Patcher + LayerScaleBackbone=Patcher, Architecture Modification=LayerScale2023.0991.0788.9488.8195.4615.48
SETR + ConvFormerBackbone=SETR, Architecture Modification=ConvFormer2023.099189.2688.695.1514.08
PAG-TransYnetArchitecture=PAG-TransYnet2026.0390.8989.6488.4894.53—
MISSFormer2023.1090.8689.5588.0494.99—
MISSFormerArchitecture=MISSFormer2026.0390.8689.5588.0494.99—
HiFormer2024.0690.8288.5588.4495.47—
TransUNetBackbone=TransUNet, Architecture Modification=None2023.0990.889.5987.8194.9914.58
TransUNet + RefinerBackbone=TransUNet, Architecture Modification=Refiner2023.0990.7688.6688.3995.2214.73
UNet++Architecture=UNet++2026.0390.6588.5288.3195.12—
PVT-CASCADE2024.0690.4587.288.9695.19—
MT-UNet2023.1090.4386.6489.0495.62—
MT-UnetArchitecture=MT-Unet2026.0390.4386.6489.0495.62—
TransFuse + ConvFormerBackbone=TransFuse, Architecture Modification=ConvFormer2023.0989.8888.8586.594.312.84
TransUNet2023.1089.7186.6787.2795.18—
TransUnet2024.0689.7186.6787.2795.18—
TransUNetArchitecture=TransUNet2026.0389.7186.6787.2795.18—
Unet2024.0689.6887.1787.2194.68—
Mamba-UnetArchitecture=Mamba-Unet2026.0389.1186.8985.5894.86—
TransFuseBackbone=TransFuse, Architecture Modification=None2023.0989.187.8585.7393.7314.98
TransFuse + RefinerBackbone=TransFuse, Architecture Modification=Refiner2023.0989.0687.8885.5593.7514.05
TransFuse + LayerScaleBackbone=TransFuse, Architecture Modification=LayerScale2023.0988.8587.8185.2493.513.53
VM-UNetArchitecture=VM-UNet2026.0388.6185.3386.1694.33—
TransFuse + Re-attentionBackbone=TransFuse, Architecture Modification=Re-attention2023.0988.4887.0585.379316.2
LeVit-Unet2024.0688.2185.5684.7594.32—
SwinUNet2023.1088.0785.7784.4294.03—
SwinUnet2024.0688.0785.7784.4294.03—
SwinUNetArchitecture=SwinUNet2026.0388.0785.7784.4294.03—
Att-UNetArchitecture=Att-UNet2026.0388.0486.784.5992.83—
U-NetArchitecture=U-Net2026.0387.8486.5184.6692.36—
R50+ViT+CUPBackbone=ResNet-50 + ViT2023.1087.5786.0781.8894.75—
R50+UNetBackbone=ResNet-502023.1087.5587.180.6394.92—
SETRBackbone=SETR, Architecture Modification=None2023.0987.1483.9583.8993.5917.24
R50+AttnUNetBackbone=ResNet-502023.1086.7587.5879.293.47—
R50 + AttnUnet2024.0686.7587.5879.293.47—
SETR + Re-attentionBackbone=SETR, Architecture Modification=Re-attention2023.0985.9182.5282.2792.9318.21
SETR + RefinerBackbone=SETR, Architecture Modification=Refiner2023.0985.7583.1881.6192.4618.09
SETR + LayerScaleBackbone=SETR, Architecture Modification=LayerScale2023.0985.7481.5482.792.9817.88
ViT+CUPBackbone=ViT2023.1081.4581.4670.7192.18—
ViT + CUP2024.0681.4581.4670.7192.18—