Medical Image Segmentation2015en
Synapse Multi-Organ Abdominal CT Segmentation
18 abdominal CT scans with 13 organ labels. Most widely used multi-organ CT segmentation benchmark. MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge.
Current State of the Art
SegMamba
Xing et al.
86.45
mean-dsc
mean-dsc Progress Over Time
Showing 4 breakthroughs from Feb 2021 to Jan 2024
Key Milestones
Feb 2021
TransUNet
Mean DSC on Synapse 13-organ CT. Table 1, TransUNet paper arxiv:2102.04306.
77.5
Sep 2021
nnFormer
Mean DSC on Synapse 13-organ CT. Table 1, nnFormer paper arxiv:2109.03201.
80.9
+4.4%
Mar 2023
MedNeXt-L
Mean DSC on Synapse 13-organ CT. Table 2, MedNeXt arxiv:2303.09975. Best published result on Synapse at time of publication (2023).
85.5
+5.7%
Jan 2024
SegMambaCurrent SOTA
Mean DSC on Synapse 13-organ CT. Table 1, SegMamba arxiv:2401.13560.
86.5
+1.1%
Total Improvement
11.6%
Time Span
2y 11m
Breakthroughs
4
Current SOTA
86.5
Top Models Performance Comparison
Top 10 models ranked by mean-dsc
Best Score
86.5
Top Model
SegMamba
Models Compared
10
Score Range
9.0
mean-dscPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | SegMambaOpen Source Xing et al. | 86.45 | Jan 2024 | |
| 2 | MedNeXt-LOpen Source German Cancer Research Center (DKFZ) | 85.47 | Mar 2023 | |
| 3 | U-Mamba (Bot)Open Source Wang et al. (University of Toronto) | 85.23 | Jan 2024 | |
| 4 | STU-Net-HOpen Source Ziyan Huang et al. | 84.92 | Apr 2023 | |
| 5 | STU-Net-LOpen Source Ziyan Huang et al. | 84.18 | Apr 2023 | |
| 6 | SegVolOpen Source BAAI (Beijing Academy of AI) | 83.06 | Nov 2023 | |
| 7 | nnU-Net v2Open Source German Cancer Research Center (DKFZ) | 82.47 | Mar 2023 | |
| 8 | nnFormerOpen Source Zhou et al. | 80.86 | Sep 2021 | |
| 9 | Swin UNETROpen Source NVIDIA (MONAI) | 79.13 | Jan 2022 | |
| 10 | TransUNetOpen Source Chen et al. (JHU) | 77.48 | Feb 2021 | |
| 11 | UNETROpen Source NVIDIA (MONAI) | 74.52 | Oct 2021 |
Related Papers9
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Jan 2024Models: SegMamba
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Jan 2024Models: U-Mamba (Bot)
SegVol: Universal and Interactive Volumetric Medical Image Segmentation
Nov 2023Models: SegVol
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Apr 2023Models: STU-Net-H, STU-Net-L
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
Mar 2023Models: MedNeXt-L, nnU-Net v2
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Jan 2022Models: Swin UNETR
UNETR: Transformers for 3D Medical Image Segmentation
Oct 2021Models: UNETR
nnFormer: Interleaved Transformer for Volumetric Segmentation
Sep 2021Models: nnFormer
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation
Feb 2021Models: TransUNet