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Multi-organ Segmentation on Synapse multi-organ segmentation (test)

0.8743Avg DSCAgileFormer-T
0.6906360.7383180.7860.833682Mar 29, 2024Aug 13, 2024Dec 28, 2024May 15, 2025Sep 29, 2025Feb 13, 2026Jul 1, 2026

Evaluation results

MethodLinks
AgileFormer-TInput Dimension=3D, Deep Supervision=true2024.030.87437.810.9180.73020.87630.87490.97060.82050.95880.8448—
MedCAGDreproduced=true, fine-tuning=true2026.070.8714.390.92280.90310.89720.87210.91020.82080.86910.76510.8377
nnUNetInput Dimension=3D2024.030.869910.780.93010.71770.85570.88180.97230.83010.91860.8526—
Self-Prompt SAMreported_from_paper=true2026.070.8674—0.91990.69950.85650.8540.97390.79180.94380.8994—
nnFormerInput Dimension=3D2024.030.865710.630.92040.70170.86570.86250.96840.83350.90510.8683—
AgileFormer-BInput Dimension=2D, Deep Supervision=true2024.030.857418.70.89110.77890.88830.850.95640.71620.9220.8563—
MCADSreproduced=true, fine-tuning=true2026.070.850311.110.90810.86070.86770.83240.87660.83550.85740.76380.8171
MERITInput Dimension=2D, Deep Supervision=true2024.030.84913.220.87710.7440.87790.84850.95260.71810.92010.8538—
AgileFormer-BInput Dimension=2D, Deep Supervision=false2024.030.841415.270.87760.74710.86690.83810.95310.68280.910.8558—
Ours2025.120.839218.910.87630.67510.89260.86470.94720.69950.92460.8333—
PraNetV2reproduced=true, fine-tuning=true2026.070.837517.770.88690.72790.85410.82910.95820.68470.93090.85850.7481
EMCAD2025.120.836315.680.88140.68870.88080.8410.95260.68510.92170.8392—
EMCADreproduced=true, fine-tuning=true2026.070.836315.680.88140.68870.88080.8410.95260.68510.92170.83920.7465
AgileFormer-TInput Dimension=2D, Deep Supervision=true2024.030.835915.090.88810.74430.84610.82780.95480.69450.90140.8305—
SwinUNETRInput Dimension=3D2024.030.834810.550.91120.66540.86990.86260.95720.6880.95370.7701—
AD-LA Former2025.120.834821.310.91340.8330.8650.70820.95170.84690.88720.6728—
PVT-GCASCADEInput Dimension=2D2024.030.832815.830.88050.74810.88020.84830.95380.69730.91920.8363—
ScaleFormer2025.120.828616.810.88730.74970.86360.83310.95120.64850.8940.8014—
LKA2025.120.827717.420.87480.71050.84930.81930.94870.66760.91450.8371—
AgileFormer-TInput Dimension=2D, Deep Supervision=false2024.030.827419.280.88080.75160.82410.81360.95090.67230.90940.8161—
Trans-CASCADEInput Dimension=2D, Deep Supervision=true2024.030.826817.340.86630.68480.87660.84560.94430.65330.90790.8369—
DAEFormer2025.120.826316.390.87840.71650.87660.82390.95080.63930.91820.8077—
CATFormerInput Dimension=2D2024.030.821716.20.88980.67160.85720.81690.95340.66530.90740.812—
MissFormerInput Dimension=2D2024.030.819618.20.86990.68650.85210.820.94410.65670.91920.8081—
MISSFormer2025.120.819618.20.86990.68650.85210.820.94410.65670.91920.8081—
MISSFormerreported_from_paper=true2026.070.819618.20.86990.68650.85210.820.94410.65670.91920.8081—
DSVM-UNet2026.010.816819.320.87560.6990.86610.83320.94440.59250.90670.8172—
VM-UNetV22026.010.812120.640.86380.69610.86650.82930.94340.58910.89660.8159—
CSWin-UNet2025.120.811218.860.87130.67850.83510.78530.95230.65940.89050.8174—
VM-UNet2026.010.810819.210.8640.69410.86160.82760.94170.5880.89510.814—
PVT-CASCADEarchitecture=Cascade, backbone=PVT2025.120.810620.230.83010.70590.82230.80370.94080.64430.9010.8369—
HiformerInput Dimension=2D2024.030.806919.140.87030.68610.84230.78370.94070.60770.90440.8203—
SDAUTInput Dimension=2D2024.030.806725.590.87030.6930.81870.8020.94910.64560.89540.7791—
HiFormer-Bvariant=Base2025.120.803914.70.86210.65230.85230.79770.94610.59520.90990.8108—
TransDeepLabInput Dimension=2D2024.030.801621.250.86040.69160.84080.79880.93530.61190.890.784—
TransDeepLab2026.010.801621.250.86040.69160.84080.79880.93530.61190.890.784—
UNETRInput Dimension=3D2024.030.795622.970.89990.60560.85660.8480.94460.59250.87810.7399—
SwinUNetInput Dimension=2D2024.030.791321.550.85470.66530.83280.79610.94290.56580.90660.766—
Swin U-Net2026.010.791321.550.85470.66530.83280.79610.94290.56580.90660.766—
Swin-UNet2025.120.791321.550.85470.66530.83280.79610.94290.56580.90660.766—
UCTransNetreproduced=true, fine-tuning=true2026.070.790815.590.83060.81350.77240.78230.85760.74770.81890.70310.7541
MEW-UNet2026.010.789216.440.86680.65320.82870.80020.93630.58360.90190.7426—
U-Mambareproduced=true, fine-tuning=true2026.070.786316.190.83770.7870.7940.82370.83860.74780.79770.66410.7487
MixedUNetInput Dimension=2D2024.030.785926.590.87920.64990.81470.77290.93060.59460.87750.7681—
MT-UNet2026.010.785926.590.87920.64990.81470.77290.93060.59460.87750.7681—
CoTrInput Dimension=2D2024.030.785624.050.87090.65370.86190.80320.94220.52280.87010.76—
LeViT-UNet2025.120.785378.530.87330.62230.84610.80250.93110.59070.88860.7276—
TransNorm2026.010.78430.250.86230.6510.82180.78630.94220.55340.8950.7601—
UNETRreported_from_paper=true2026.070.783518.590.8980.5630.8560.84520.94570.60470.850.7046—
Att-UNetInput Dimension=2D2024.030.777736.020.89550.68880.77980.71110.93570.58040.8730.7575—
Att-UNet2026.010.777736.020.89550.68880.77980.71110.93570.58040.8730.7575—
TransUNetreproduced=true, fine-tuning=true2026.070.776126.90.86560.60430.80540.78530.94330.58470.87060.750.6732
Swin-Unetreproduced=true, fine-tuning=true2026.070.775827.320.81760.65950.82320.79220.93730.53810.88040.75790.6688
TransUNet2025.120.774931.690.87230.63160.81870.77020.94080.55860.85080.7562—
TransUNetInput Dimension=2D2024.030.774831.690.87230.63130.81870.77020.94080.55860.85080.7562—
TransUnet2026.010.774831.690.87230.63130.81870.77020.94080.55860.85080.7562—
U-NetInput Dimension=2D2024.030.768539.70.89070.69720.77770.6860.93430.53980.86670.7558—
UNet2026.010.768539.70.89070.69720.77770.6860.93430.53980.86670.7558—
nnU-Netreproduced=true, fine-tuning=true2026.070.753319.340.77060.73270.76340.84530.79980.73340.77620.60520.7147
R50 U-NetBackbone=ResNet-502026.010.746836.870.87470.66360.8060.78190.93740.5690.85870.7416—
VM-UNetreproduced=true, fine-tuning=true2026.070.733927.970.63570.72620.77980.92590.79440.7080.55580.74550.7161
UNet++reproduced=true, fine-tuning=true2026.070.723925.610.83650.67660.57260.84530.81340.73870.68970.61850.6882
AttnUNetreproduced=true, fine-tuning=true2026.070.71726.010.84040.66420.57260.84530.81280.73870.66060.60170.6809
R50 ViTInput Dimension=2D2024.030.712932.870.73730.55130.7580.7220.91510.45990.81990.7395—
U-Netreproduced=true, fine-tuning=true2026.070.701144.690.840.5670.72410.62640.86980.48730.81480.67960.5939
DARR2026.010.6977—0.74740.53770.72310.73240.94080.54180.8990.4596—