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Models/UCTransNet

UCTransNet

Reported on 7 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.

Medical7 results

  • Medical Image SegmentationonGlaS
    Dice· 2021-09-09
    90.18
    best: 93.25 (Hi-gMISnet)
    SOTA
    UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerarXiv:2109.04335
  • Medical Image SegmentationonGlaS
    F1· 2021-09-09
    90.18
    best: 93.25 (Hi-gMISnet)
    SOTA
    UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerarXiv:2109.04335
  • Medical Image SegmentationonGlaS
    IoU· 2021-09-09
    82.96
    best: 85.13 (MDM)
    SOTA
    UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerarXiv:2109.04335
  • Medical Image SegmentationonMoNuSeg
    F1· 2022-06-29
    79.87
    best: 84.6 (Stardist)
    LViT: Language meets Vision Transformer in Medical Image SegmentationarXiv:2206.14718
  • Medical Image SegmentationonMoNuSeg
    IoU· 2022-06-29
    66.68
    best: 73.06 (ReN-UNet)
    LViT: Language meets Vision Transformer in Medical Image SegmentationarXiv:2206.14718
  • Medical Image SegmentationonSynapse multi-organ CT
    Avg DSC· uses extra data· 2021-09-09
    78.99
    best: 90.66 (Interactive AI-SAM gt box)
    UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerarXiv:2109.04335
  • Medical Image SegmentationonSynapse multi-organ CT
    Avg HD· uses extra data· 2021-09-09
    30.29
    best: 31.69 (TransUNet)
    UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with TransformerarXiv:2109.04335