RAPUNet

Reported on 8 benchmarks across 1 task

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

Medical8 results

Medical Image SegmentationonKvasir-SEG
mIoU
0.885
best: 0.9065 (EffiSegNet-B5)
Medical Image SegmentationonKvasir-SEG
mean Dice
0.939
best: 0.9502 (DUCK-Net)
Medical Image SegmentationonETIS-LARIBPOLYPDB
mIoU
0.9179
Medical Image SegmentationonETIS-LARIBPOLYPDB
mean Dice
0.9572
Medical Image SegmentationonCVC-ColonDB
mIoU
0.9096
Medical Image SegmentationonCVC-ColonDB
mean Dice
0.9526
Medical Image SegmentationonCVC-ClinicDB
mIoU
0.926
best: 0.9343 (DUCK-Net)
Medical Image SegmentationonCVC-ClinicDB
mean Dice
0.961
best: 0.9684 (DUCK-Net)