Medical Image Segmentation on MosMedData+ (test)
80.37DiceSSA
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| SSAType=Multi-Modal2025.12 | 80.37 | 67.19 | |
| MMI-UNetType=Multi-Modal2025.12 | 78.42 | 64.5 | |
| MLMoEType=Multi-Modal2025.12 | 77.98 | 63.9 | |
| GuideDecoderType=Multi-Modal2025.12 | 77.75 | 63.6 | |
| LViT-TBackbone=Hybrid, Text information=true, Label ratio=100%, Param (M)=29.7, Flops (G)=54.12022.06 | 74.57 | 61.33 | |
| LViTType=Multi-Modal2025.12 | 74.57 | 61.33 | |
| LViT-TBackbone=Hybrid, Text information=true, Label ratio=50%, Param (M)=29.7, Flops (G)=54.12022.06 | 73.56 | 61.05 | |
| LAVTBackbone=Hybrid, Text information=true, Label ratio=100%, Param (M)=118.6, Flops (G)=83.82022.06 | 73.29 | 60.41 | |
| nnUNetBackbone=CNN, Text information=false, Label ratio=100%, Param (M)=19.1, Flops (G)=412.72022.06 | 72.59 | 60.36 | |
| LViT-TWBackbone=Hybrid, Text information=false, Label ratio=100%, Param (M)=28, Flops (G)=542022.06 | 72.58 | 60.4 | |
| LViT-TBackbone=Hybrid, Text information=true, Label ratio=25%, Param (M)=29.7, Flops (G)=54.12022.06 | 72.48 | 60.31 | |
| GLORIABackbone=Hybrid, Text information=true, Label ratio=100%, Param (M)=45.6, Flops (G)=60.82022.06 | 72.42 | 60.18 | |
| ViLTBackbone=Hybrid, Text information=true, Label ratio=100%, Param (M)=87.4, Flops (G)=55.92022.06 | 72.36 | 60.15 | |
| ConVIRTBackbone=CNN, Text information=true, Label ratio=100%, Param (M)=35.2, Flops (G)=44.62022.06 | 72.06 | 59.73 | |
| CLIPBackbone=Hybrid, Text information=true, Label ratio=100%, Param (M)=87, Flops (G)=105.32022.06 | 71.97 | 59.64 | |
| LViT-TWBackbone=Hybrid, Text information=false, Label ratio=50%, Param (M)=28, Flops (G)=542022.06 | 71.89 | 59.63 | |
| TGANetBackbone=CNN, Text information=true, Label ratio=100%, Param (M)=19.8, Flops (G)=41.92022.06 | 71.81 | 59.28 | |
| UNet++Backbone=CNN, Text information=false, Label ratio=100%, Param (M)=74.5, Flops (G)=94.62022.06 | 71.75 | 58.39 | |
| TransUNetBackbone=Hybrid, Text information=false, Label ratio=100%, Param (M)=105, Flops (G)=56.72022.06 | 71.24 | 58.44 | |
| LViT-TWBackbone=Hybrid, Text information=false, Label ratio=25%, Param (M)=28, Flops (G)=542022.06 | 70.65 | 58.07 | |
| nnU-NetType=Mono-Modal2025.12 | 69.3 | 52.53 | |
| U-Net++Type=Mono-Modal2025.12 | 68.2 | 51.75 | |
| AttentionUnetType=Mono-Modal2025.12 | 67.93 | 51.44 | |
| U-NetType=Mono-Modal2025.12 | 67.34 | 50.76 | |
| AttUNetBackbone=CNN, Text information=false, Label ratio=100%, Param (M)=34.9, Flops (G)=101.92022.06 | 66.34 | 52.82 | |
| UCTransNetBackbone=Hybrid, Text information=false, Label ratio=100%, Param (M)=65.6, Flops (G)=63.22022.06 | 65.9 | 52.69 | |
| U-NetBackbone=CNN, Text information=false, Label ratio=100%, Param (M)=14.8, Flops (G)=50.32022.06 | 64.6 | 50.73 | |
| Swin-UnetBackbone=Hybrid, Text information=false, Label ratio=100%, Param (M)=82.3, Flops (G)=67.32022.06 | 63.29 | 50.19 | |
| Swin UNETRType=Mono-Modal2025.12 | 57.79 | 40.63 |