Model card
nnFormer.
Zhou et al.open-source150M paramsInterleaved Transformer for volumetric segmentation
Interleaved local and global self-attention for volumetric medical image segmentation.
§ 01 · Benchmarks
Every benchmark nnFormer has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | ACDC | Medical · Medical Image Segmentation | mean-dsc | 90.2% | #5 | 2021-09-07 | source ↗ |
| 02 | Synapse Multi-Organ CT | Medical · Medical Image Segmentation | mean-dsc | 80.9% | #8 | 2021-09-07 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for nnFormer.
- 2021-09-07· Medical· 2 results
nnFormer: Interleaved Transformer for Volumetric Segmentation
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
2
results
2 of 2 rows marked verified.