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Models/TransUNet

TransUNet

Reported on 4 benchmarks across 1 task · 2 papers · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical6 results

Medical Image SegmentationonSynapse multi-organ CT
Avg HD· uses extra data· 2021-02-08
31.69
SOTA
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation arXiv:2102.04306
Medical Image SegmentationonAutomatic Cardiac Diagnosis Challenge (ACDC)
Avg DSC· 2021-02-08
89.71
best: 94.26 (FCT)
SOTA
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation arXiv:2102.04306
Medical Image SegmentationonACDC
Dice Score· 2021-02-08
0.8971
best: 0.9302 (FCT)
SOTA
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation arXiv:2102.04306
Medical Image SegmentationonSynapse multi-organ CT
Avg DSC· 2024-12-17
81.19
best: 90.66 (Interactive AI-SAM gt box)
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging arXiv:2412.13156
Medical Image SegmentationonAutomatic Cardiac Diagnosis Challenge (ACDC)
Avg DSC· 2024-12-17
90.4
best: 94.26 (FCT)
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging arXiv:2412.13156
Medical Image SegmentationonSynapse multi-organ CT
Avg DSC· uses extra data· 2021-02-08
77.48
best: 90.66 (Interactive AI-SAM gt box)
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation arXiv:2102.04306