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Models/ProMISe

ProMISe

Reported on 10 benchmarks across 1 task · 1 paper · 1 SOTA

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

Medical10 results

  • Medical Image SegmentationonISIC 2018
    DSC· 2024-03-07
    92.1
    SOTA
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2024-03-07
    0.851
    best: 0.9065 (EffiSegNet-B5)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2024-03-07
    0.911
    best: 0.9502 (DUCK-Net)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonISIC 2018
    mIoU· 2024-03-07
    85
    best: 86.53 (PVT-GCASCADE)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mIoU· 2024-03-07
    0.75
    best: 0.9179 (RAPUNet)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonETIS-LARIBPOLYPDB
    mean Dice· 2024-03-07
    0.84
    best: 0.9572 (RAPUNet)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonCVC-ColonDB
    mIoU· 2024-03-07
    0.789
    best: 0.9096 (RAPUNet)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonCVC-ColonDB
    mean Dice· 2024-03-07
    0.874
    best: 0.9526 (RAPUNet)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonISIC 2018
    Mean IoU· 2024-03-07
    0.85
    best: 0.867 (DuAT)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164
  • Medical Image SegmentationonISIC 2018
    mean Dice· 2024-03-07
    0.921
    best: 0.9253 (Polar Res-U-Net++)
    ProMISe: Promptable Medical Image Segmentation using SAMarXiv:2403.04164