Medical Image Segmentation on Kvasir-SEG (Quality and Inference Performance)
88.79Dice CoefficientSegDINO
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SegDINObackbone=DINO-S2026.06 | 88.79 | — | — | — | — | — | 17.85 | — | — | — | — | |
| SegNet2026.06 | 84.15 | — | — | — | — | — | 25.89 | — | — | — | — | |
| TransUNet2026.06 | 80.54 | — | — | — | — | — | 37.67 | — | — | — | — | |
| Att-UNet2026.06 | 80.16 | — | — | — | — | — | 31.92 | — | — | — | — | |
| U-Net2026.06 | 79.16 | — | — | — | — | — | 41.58 | — | — | — | — | |
| U-Net (baseline)Params (M)=7.813, MACs (G)=11.672026.02 | 79 | 70 | 217.91 | 420 | 2.65 | 300 | — | — | — | — | — | |
| BiSe-UNetParams (M)=2.509, MACs (G)=0.972026.02 | 78.09 | 69.61 | 358.34 | 240 | 30.48 | 170 | — | — | — | — | — | |
| HarDNetParams (M)=3.809, MACs (G)=4.462026.02 | 77.75 | 69.59 | 232.62 | 360 | 7.17 | 200 | — | — | — | — | — | |
| BiSeNetParams (M)=2.533, MACs (G)=1.072026.02 | 75.01 | 65.95 | 397.37 | 210 | 30.06 | 160 | — | — | — | — | — | |
| R2U-Net2026.06 | 73.67 | — | — | — | — | — | 45.64 | — | — | — | — | |
| U-KAN2026.06 | 72.17 | — | — | — | — | — | 36.92 | — | — | — | — | |
| U-NeXt2026.06 | 62.71 | — | — | — | — | — | 58.32 | — | — | — | — | |
| UPolySegSplit Protocol=90/10 train/test2026.06 | 0.969 | 0.879 | — | — | — | — | — | — | — | — | — | |
| PU-UNetSplit Protocol=80/10/10 train/validation/test2026.06 | 0.959 | 0.923 | — | — | — | — | — | — | — | — | — | |
| ResPVT-B0Split Protocol=90/10 train/test2026.06 | 0.954 | 0.918 | — | — | — | — | — | — | — | — | — | |
| PCA-TransUNet2026.06 | 0.952 | — | — | — | — | — | — | — | — | — | — | |
| µ-Net2026.06 | 0.94 | 0.887 | — | — | — | — | — | — | — | — | — | |
| Dual-branch SSM2026.06 | 0.917 | — | — | — | — | — | — | — | — | — | — | |
| TAMISegBackbone=CNN, Params ↓ (M)=48.75, FLOPs ↓ (G)=29.83, Multi-modal=true2026.04 | 0.9159 | 0.8411 | — | — | — | — | — | — | — | — | — | |
| Med-URWKV†Type=RWKV, Source=Ours, Params=24.41 M2025.06 | 0.9141 | 0.8596 | — | — | — | — | — | — | — | — | — | |
| MedSegDiff-V2Backbone=Diffusion, Params ↓ (M)=46.12, FLOPs ↓ (G)=149.01, Multi-modal=false2026.04 | 0.9097 | 0.8327 | — | — | — | — | — | — | — | — | — | |
| A-DenseUNet2026.06 | 0.909 | 0.862 | — | — | — | — | — | — | — | — | — | |
| GuiDINO-W2026.03 | 0.9086 | 0.8482 | — | — | — | — | 17.5 | — | — | — | — | |
| Dino U-NetBackbone Size=7B2025.08 | 0.9077 | — | — | — | — | — | 25.44 | — | — | — | — | |
| ProLearnBackbone=CNN, Params ↓ (M)=69.88, FLOPs ↓ (G)=38.12, Multi-modal=true2026.04 | 0.904 | 0.828 | — | — | — | — | — | — | — | — | — | |
| Med-URWKV-TType=RWKV, Source=Ours, Params=14.33 M2025.06 | 0.9035 | 0.8446 | — | — | — | — | — | — | — | — | — | |
| MAdapterBackbone=CNN, Params ↓ (M)=67.55, FLOPs ↓ (G)=37.65, Multi-modal=true2026.04 | 0.9016 | 0.8265 | — | — | — | — | — | — | — | — | — | |
| nnWNet2026.03 | 0.8998 | 0.8458 | — | — | — | — | 18.17 | — | — | — | — | |
| LanGuideSegBackbone=CNN, Params ↓ (M)=64.35, FLOPs ↓ (G)=36.27, Multi-modal=true2026.04 | 0.8993 | 0.8212 | — | — | — | — | — | — | — | — | — | |
| ConDSegBackbone=CNN, Params ↓ (M)=43.81, FLOPs ↓ (G)=28.62, Multi-modal=false2026.04 | 0.8989 | 0.8273 | — | — | — | — | — | — | — | — | — | |
| Med-URWKV-SType=RWKV, Source=Ours, Params=53.07 M2025.06 | 0.8989 | 0.8411 | — | — | — | — | — | — | — | — | — | |
| SAM2-UNet2025.08 | 0.8979 | — | — | — | — | — | 27.07 | — | — | — | — | |
| nnUNet2026.03 | 0.8971 | 0.8392 | — | — | — | — | 20.85 | — | — | — | — | |
| Dino U-NetBackbone Size=L2025.08 | 0.8963 | — | — | — | — | — | 27.81 | — | — | — | — | |
| H2Former2026.03 | 0.895 | 0.8387 | — | — | — | — | 19.81 | — | — | — | — | |
| Dino U-NetBackbone Size=S2025.08 | 0.8887 | — | — | — | — | — | 33.24 | — | — | — | — | |
| TGCAMBackbone=CNN, Params ↓ (M)=61.76, FLOPs ↓ (G)=35.99, Multi-modal=true2026.04 | 0.8885 | 0.8103 | — | — | — | — | — | — | — | — | — | |
| Dino U-NetBackbone Size=B2025.08 | 0.8856 | — | — | — | — | — | 28.03 | — | — | — | — | |
| TVE-NetBackbone=CNN, Params ↓ (M)=56.26, FLOPs ↓ (G)=33.46, Multi-modal=true2026.04 | 0.8804 | 0.8011 | — | — | — | — | — | — | — | — | — | |
| CausalCLIPSegBackbone=Hybrid, Params ↓ (M)=89.86, FLOPs ↓ (G)=45.95, Multi-modal=true2026.04 | 0.8789 | 0.7995 | — | — | — | — | — | — | — | — | — | |
| SegDINO2026.03 | 0.8765 | 0.8064 | — | — | — | — | 18.62 | — | — | — | — | |
| MedSAM + AdSTNet2026.06 | 0.873 | 0.781 | — | — | — | — | — | — | — | — | — | |
| LGABackbone=Transformer, Params ↓ (M)=97.58, FLOPs ↓ (G)=48.23, Multi-modal=true2026.04 | 0.8726 | 0.7942 | — | — | — | — | — | — | — | — | — | |
| LViTBackbone=Hybrid, Params ↓ (M)=93.16, FLOPs ↓ (G)=46.75, Multi-modal=true2026.04 | 0.8654 | 0.7833 | — | — | — | — | — | — | — | — | — | |
| PVT-EMCAD-b1Type=CNN, Source=CVPR’24, Params=15.41 M2025.06 | 0.8649 | 0.7935 | — | — | — | — | — | — | — | — | — | |
| UNetType=CNN, Source=MICCAI’15, Params=24.89 M2025.06 | 0.8644 | 0.792 | — | — | — | — | — | — | — | — | — | |
| UCTransNetType=ViT, Source=AAAI’22, Params=66.24 M2025.06 | 0.8642 | 0.7917 | — | — | — | — | — | — | — | — | — | |
| Zig-RiRType=RWKV, Source=TMI’25, Params=24.58 M2025.06 | 0.8631 | 0.7521 | — | — | — | — | — | — | — | — | — | |
| SegResNet2025.08 | 0.8598 | — | — | — | — | — | 35.08 | — | — | — | — | |
| ACC-UnetType=CNN, Source=MICCAI’23, Params=16.77 M2025.06 | 0.8587 | 0.7912 | — | — | — | — | — | — | — | — | — | |
| UNet++Type=CNN, Source=TMI’19, Params=47.19 M2025.06 | 0.8577 | 0.7796 | — | — | — | — | — | — | — | — | — | |
| Attention-UNetType=CNN, Source=MIDL’18, Params=34.88 M2025.06 | 0.8575 | 0.7806 | — | — | — | — | — | — | — | — | — | |
| UNet++2025.08 | 0.8569 | — | — | — | — | — | 44.08 | — | — | — | — | |
| RWKV-UNetType=RWKV, Source=Arxiv’25, Params=17.40 M2025.06 | 0.8556 | 0.7806 | — | — | — | — | — | — | — | — | — | |
| TransUNetType=ViT, Source=Arxiv’21, Params=92.23 M2025.06 | 0.8546 | 0.7832 | — | — | — | — | — | — | — | — | — | |
| U-KAN2025.08 | 0.8533 | — | — | — | — | — | 41.32 | — | — | — | — | |
| U-Mamba2025.08 | 0.8524 | — | — | — | — | — | 40.91 | — | — | — | — | |
| Swin-UMambaType=Mamba, Source=MICCAI’24, Params=55.06 M2025.06 | 0.8403 | 0.7632 | — | — | — | — | — | — | — | — | — | |
| TextDiffBackbone=Diffusion, Params ↓ (M)=9.68, FLOPs ↓ (G)=36.85, Multi-modal=true2026.04 | 0.8343 | 0.7603 | — | — | — | — | — | — | — | — | — | |
| MAXFormerBackbone=Hybrid, Params ↓ (M)=68.96, FLOPs ↓ (G)=44.87, Multi-modal=false2026.04 | 0.8302 | 0.7526 | — | — | — | — | — | — | — | — | — | |
| Swin-UNetBackbone=Hybrid, Params ↓ (M)=62.03, FLOPs ↓ (G)=42.37, Multi-modal=false2026.04 | 0.8247 | 0.7435 | — | — | — | — | — | — | — | — | — | |
| UNeXtType=CNN, Source=MICCAI’22, Params=1.47 M2025.06 | 0.8247 | 0.7406 | — | — | — | — | — | — | — | — | — | |
| TransUNetBackbone=Hybrid, Params ↓ (M)=104.93, FLOPs ↓ (G)=37.22, Multi-modal=false2026.04 | 0.8205 | 0.7412 | — | — | — | — | — | — | — | — | — | |
| nnU-NetBackbone=CNN, Params ↓ (M)=41.25, FLOPs ↓ (G)=32.71, Multi-modal=false2026.04 | 0.8142 | 0.731 | — | — | — | — | — | — | — | — | — | |
| Swin U-Mamba†2025.08 | 0.8116 | — | — | — | — | — | 59.59 | — | — | — | — | |
| nnU-Net2025.08 | 0.8085 | — | — | — | — | — | 61.48 | — | — | — | — | |
| MGFuseSegType=CNN, Source=BIBM’23, Params=22.27 M2025.06 | 0.8037 | 0.7197 | — | — | — | — | — | — | — | — | — | |
| U-Net++Backbone=CNN, Params ↓ (M)=36.01, FLOPs ↓ (G)=25.22, Multi-modal=false2026.04 | 0.8035 | 0.7185 | — | — | — | — | — | — | — | — | — | |
| U-NetBackbone=CNN, Params ↓ (M)=31.04, FLOPs ↓ (G)=54.75, Multi-modal=false2026.04 | 0.7894 | 0.7021 | — | — | — | — | — | — | — | — | — | |
| H-VmnetType=Mamba, Source=Neurocomputing’25, Params=6.44 M2025.06 | 0.7599 | 0.6601 | — | — | — | — | — | — | — | — | — | |
| U-KAN2026.03 | 0.7217 | 0.6381 | — | — | — | — | 36.92 | — | — | — | — | |
| MISSFormerType=ViT, Source=TMI’23, Params=35.45 M2025.06 | 0.7181 | 0.6162 | — | — | — | — | — | — | — | — | — | |
| VM-UNetType=Mamba, Source=Arxiv’24, Params=34.62 M2025.06 | 0.7012 | 0.611 | — | — | — | — | — | — | — | — | — | |
| Swin-UnetType=ViT, Source=ECCV’22, Params=27.15 M2025.06 | 0.5635 | 0.4337 | — | — | — | — | — | — | — | — | — | |
| HFE-RWKVType=RWKV, Source=ICASSP’25, Params=49.67 M2025.06 | 0.5034 | 0.3767 | — | — | — | — | — | — | — | — | — | |
| RadiomicNet2026.07 | — | — | — | — | — | — | — | — | 3.27 | 13.1 | 8.85 | |
| TransUNet2026.07 | — | — | — | — | — | — | — | — | 93 | 372 | — | |
| U-KAN2026.07 | — | — | — | — | — | — | — | — | 14 | 56 | — | |
| U-Net2026.07 | — | — | — | — | — | — | — | — | 31 | 124 | — | |
| UNet++2026.07 | — | — | — | — | — | — | — | — | 9 | 36 | — |