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Models/LGRNet

LGRNet

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

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

Medical8 results

  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    Dice· 2024-07-08
    0.853
    best: 0.9 (YOLO-SAM 2)
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    mean IoU· 2024-07-08
    0.783
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Hard
    Dice· 2024-07-08
    0.876
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Hard
    IoU· 2024-07-08
    0.805
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    Dice· 2024-07-08
    0.865
    best: 0.902 (YOLO-SAM 2)
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    mean IoU· 2024-07-08
    0.792
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Easy
    Dice· 2024-07-08
    0.875
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703
  • Medical Image SegmentationonSUN-SEG-Easy
    IoU· 2024-07-08
    0.81
    SOTA
    LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound VideosarXiv:2407.05703