SegFormer3D

Reported on 3 benchmarks across 1 task · 2 papers · 2 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-2017 val
Dice Score· 2024-04-15
0.9096
SOTA
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation arXiv:2404.10156
Medical Image SegmentationonBRATS-2017 val
Dice Score· 2019-06-05
0.9071
best: 0.9096
SOTA
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation arXiv:1906.01796
Medical Image SegmentationonSynapse multi-organ CT
Avg DSC· 2024-04-15
82.15
best: 90.66 (Interactive AI-SAM gt box)
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation arXiv:2404.10156
Medical Image SegmentationonAutomatic Cardiac Diagnosis Challenge (ACDC)
Avg DSC· 2024-04-15
90.96
best: 94.26 (FCT)
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation arXiv:2404.10156