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Models/SegMed

SegMed

Reported on 10 benchmarks across 1 task

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

Medical10 results

  • Medical Image SegmentationonKvasir-SEG
    mIoU
    0.899
    best: 0.9065 (EffiSegNet-B5)
  • Medical Image SegmentationonKvasir-SEG
    mean Dice
    0.947
    best: 0.9502 (DUCK-Net)
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU
    0.879
    best: 0.9179 (RAPUNet)
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice
    0.936
    best: 0.9572 (RAPUNet)
  • Medical Image SegmentationonCVC-ColonDB
    mIoU
    0.854
    best: 0.9096 (RAPUNet)
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice
    0.921
    best: 0.9526 (RAPUNet)
  • Medical Image SegmentationonCVC-ClinicDB
    mIoU
    0.902
    best: 0.9343 (DUCK-Net)
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice
    0.948
    best: 0.9684 (DUCK-Net)
  • Medical Image SegmentationonISIC 2018
    Mean IoU
    0.841
    best: 0.867 (DuAT)
  • Medical Image SegmentationonISIC 2018
    mean Dice
    0.911
    best: 0.9253 (Polar Res-U-Net++)