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Models/ReN-UNet

ReN-UNet

Reported on 15 benchmarks across 1 task · 1 paper · 14 SOTA

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

Medical15 results

  • Medical Image SegmentationonTNBC
    AHD95· 2025-04-08
    10.355
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonTNBC
    Dice· 2025-04-08
    78.99
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonTNBC
    IoU· 2025-04-08
    66.13
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonMoNuSeg
    AHD95· 2025-04-08
    2.2422
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonMoNuSeg
    ASD· 2025-04-08
    0.1583
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonMoNuSeg
    IoU· 2025-04-08
    73.06
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image Segmentationon2018 Data Science Bowl
    AHD95· 2025-04-08
    6.5914
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image Segmentationon2018 Data Science Bowl
    ASD· 2025-04-08
    1.7074
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image Segmentationon2018 Data Science Bowl
    Dice· 2025-04-08
    92.79
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image Segmentationon2018 Data Science Bowl
    mIoU· 2025-04-08
    87.22
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonElectron Microscopy Dataset
    AHD95· 2025-04-08
    5.3703
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonElectron Microscopy Dataset
    ASD· 2025-04-08
    0.3047
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonElectron Microscopy Dataset
    Dice· 2025-04-08
    93.55
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonElectron Microscopy Dataset
    IoU· 2025-04-08
    87.93
    SOTA
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158
  • Medical Image SegmentationonMoNuSeg
    F1· 2025-04-08
    84.12
    best: 84.6 (Stardist)
    Rethinking the Nested U-Net Approach: Enhancing Biomarker Segmentation with Attention Mechanisms and Multiscale Feature FusionarXiv:2504.06158