Bag of tricks

Reported on 3 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.

Medical3 results

Medical Image SegmentationonBRATS 2019
WT· 2021-05-20
0.895
SOTA
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511
Medical Image SegmentationonBRATS 2019
ET· 2021-05-20
0.729
best: 0.74 (Extension of nnU-Net)
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511
Medical Image SegmentationonBRATS 2019
TC· 2021-05-20
0.802
best: 0.817 (Segtran (i3d))
Medical Image Segmentation Using Squeeze-and-Expansion Transformers arXiv:2105.09511