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Models/2/3D

2/3D

Reported on 12 benchmarks across 1 task

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

Medical12 results

  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    Dice
    0.722
    best: 0.9 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    S measure
    0.786
    best: 0.9 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    Sensitivity
    0.603
    best: 83.7 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    mean E-measure
    0.777
    best: 93.8 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    mean F-measure
    0.708
    best: 93.8 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Easy (Unseen)
    weighted F-measure
    0.652
    best: 0.794 (SALI)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    Dice
    0.706
    best: 0.902 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    S-Measure
    0.786
    best: 0.894 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    Sensitivity
    0.607
    best: 0.852 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    mean E-measure
    0.775
    best: 0.941 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    mean F-measure
    0.688
    best: 0.932 (YOLO-SAM 2)
  • Medical Image SegmentationonSUN-SEG-Hard (Unseen)
    weighted F-measure
    0.634
    best: 0.79 (SALI)