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Models/IterNet

IterNet

Reported on 8 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical8 results

  • Medical Image SegmentationonCHASE_DB1
    AUC· 2019-12-12
    0.9851
    best: 0.9937 (FSG-Net)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Medical Image SegmentationonCHASE_DB1
    F1 score· 2019-12-12
    0.8073
    best: 0.8957 (RV-GAN)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Medical Image SegmentationonDRIVE
    AUC· 2019-12-12
    0.9816
    best: 0.9931 (Swin-Res-Net)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Retinal Vessel SegmentationonCHASE_DB1
    AUC· 2019-12-12
    0.9851
    best: 0.9937 (FSG-Net)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Retinal Vessel SegmentationonCHASE_DB1
    F1 score· 2019-12-12
    0.8073
    best: 0.8957 (RV-GAN)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Retinal Vessel SegmentationonDRIVE
    AUC· 2019-12-12
    0.9816
    best: 0.9931 (Swin-Res-Net)
    SOTA
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Medical Image SegmentationonDRIVE
    F1 score· 2019-12-12
    0.8205
    best: 0.8322 (FSG-Net)
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763
  • Retinal Vessel SegmentationonDRIVE
    F1 score· 2019-12-12
    0.8205
    best: 0.8322 (FSG-Net)
    IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel NetworksarXiv:1912.05763