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Models/SA-UNet

SA-UNet

Reported on 10 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Medical10 results

  • Medical Image SegmentationonCHASE_DB1
    AUC· 2020-04-07
    0.9905
    best: 0.9937 (FSG-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Medical Image SegmentationonCHASE_DB1
    F1 score· 2020-04-07
    0.8153
    best: 0.8957 (RV-GAN)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Medical Image SegmentationonDRIVE
    AUC· 2020-04-07
    0.9864
    best: 0.9931 (Swin-Res-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Medical Image SegmentationonDRIVE
    Accuracy· 2020-04-07
    0.9698
    best: 0.9712 (U-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Retinal Vessel SegmentationonCHASE_DB1
    AUC· 2020-04-07
    0.9905
    best: 0.9937 (FSG-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Retinal Vessel SegmentationonCHASE_DB1
    F1 score· 2020-04-07
    0.8153
    best: 0.8957 (RV-GAN)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Retinal Vessel SegmentationonDRIVE
    AUC· 2020-04-07
    0.9864
    best: 0.9931 (Swin-Res-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Retinal Vessel SegmentationonDRIVE
    Accuracy· 2020-04-07
    0.9698
    best: 0.9712 (U-Net)
    SOTA
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Medical Image SegmentationonDRIVE
    F1 score· 2020-04-07
    0.8263
    best: 0.8322 (FSG-Net)
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696
  • Retinal Vessel SegmentationonDRIVE
    F1 score· 2020-04-07
    0.8263
    best: 0.8322 (FSG-Net)
    SA-UNet: Spatial Attention U-Net for Retinal Vessel SegmentationarXiv:2004.03696