FCB Former

Reported on 3 benchmarks across 1 task · 1 paper · 2 SOTA

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

Medical3 results

Medical Image SegmentationonKvasir-SEG
mIoU· 2022-07-16
0.8974
best: 0.9065 (EffiSegNet-B5)
SOTA
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation arXiv:2207.07842
Medical Image SegmentationonKvasir-SEG
mean Dice· 2022-07-16
0.9445
best: 0.9502 (DUCK-Net)
SOTA
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation arXiv:2207.07842
Medical Image SegmentationonSynapse multi-organ CT
Avg DSC· 2022-07-16
80.26
best: 90.66 (Interactive AI-SAM gt box)
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation arXiv:2207.07842