CPMF (2D+3D)
Reported on 3 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology5 results
- Detection AUROC· uses extra data· 2023-03-230.9515best: 93.7 (AST)
- Segmentation AUROC· uses extra data· 2023-03-230.9781best: 97.6 (AST)
- Detection AUROC· uses extra data· 2023-03-230.9515best: 93.7 (AST)
- Segmentation AUPRO· uses extra data· 2023-03-230.9293best: 93.75 (CDO)
- Segmentation AUROC· uses extra data· 2023-03-230.9781best: 97.6 (AST)