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Models/LUNet

LUNet

Reported on 6 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 SegmentationonUZLF
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    83.2
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Medical Image SegmentationonINSPIRE-AVR (LUNet subset)
    Average Dice· 2023-09-11
    75.6
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Medical Image SegmentationonINSPIRE-AVR (LUNet subset)
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    75.6
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Retinal Vessel SegmentationonUZLF
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    83.2
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Retinal Vessel SegmentationonINSPIRE-AVR (LUNet subset)
    Average Dice· 2023-09-11
    75.6
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Retinal Vessel SegmentationonINSPIRE-AVR (LUNet subset)
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    75.6
    SOTA
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Medical Image SegmentationonUZLF
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    83.2
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780
  • Retinal Vessel SegmentationonUZLF
    Average Dice (0.5*Dice_a + 0.5*Dice_v)· 2023-09-11
    83.2
    LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus ImagesarXiv:2309.05780