Extension of nnU-Net

Reported on 4 benchmarks across 1 task · 1 paper · 1 SOTA

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

Medical4 results

Medical Image SegmentationonBRATS 2019
ET· 2021-05-20
0.74
SOTA
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511
Medical Image SegmentationonBRATS 2019
Avg.· 2021-05-20
0.812
best: 0.817 (Segtran (i3d))
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511
Medical Image SegmentationonBRATS 2019
TC· 2021-05-20
0.807
best: 0.817 (Segtran (i3d))
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511
Medical Image SegmentationonBRATS 2019
WT· 2021-05-20
0.894
best: 0.895 (Bag of tricks)
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511