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Models/MSRF-Net

MSRF-Net

Reported on 8 benchmarks across 1 task · 1 paper · 5 SOTA

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

Medical8 results

  • Medical Image SegmentationonKvasir-SEG
    mIoU· 2021-05-16
    0.8914
    best: 0.9065 (EffiSegNet-B5)
    SOTA
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image SegmentationonKvasir-SEG
    mean Dice· 2021-05-16
    0.9217
    best: 0.9502 (DUCK-Net)
    SOTA
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image Segmentationon2018 Data Science Bowl
    Dice· 2021-05-16
    0.9224
    best: 92.79 (ReN-UNet)
    SOTA
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image Segmentationon2018 Data Science Bowl
    Recall· 2021-05-16
    0.9402
    SOTA
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image SegmentationonCVC-ClinicDB
    mean Dice· 2021-05-16
    0.942
    best: 0.9684 (DUCK-Net)
    SOTA
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image Segmentationon2018 Data Science Bowl
    Precision· 2021-05-16
    0.9022
    best: 0.9596 (DoubleUNet)
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image Segmentationon2018 Data Science Bowl
    mIoU· 2021-05-16
    0.8534
    best: 87.22 (ReN-UNet)
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451
  • Medical Image SegmentationonISIC 2018
    mean Dice· 2021-05-16
    0.8813
    best: 0.9253 (Polar Res-U-Net++)
    MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationarXiv:2105.07451