FCN8 (e)

Reported on 4 benchmarks across 2 tasks · 2 papers · 3 SOTA

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

Medical4 results

Colorectal Gland Segmentation:onCRAG
Hausdorff Distance (mm)· 2015-05-18
199.5
best: 318.9 (VF-CNN (C4))
SOTA
U-Net: Convolutional Networks for Biomedical Image Segmentation arXiv:1505.04597
Multi-tissue Nucleus SegmentationonKumar
Dice· 2014-11-14
0.797
best: 0.843 (GC-MHVN)
SOTA
Fully Convolutional Networks for Semantic Segmentation arXiv:1411.4038
Multi-tissue Nucleus SegmentationonKumar
Hausdorff Distance (mm)· 2014-11-14
31.2
best: 60 (DSF-CNN (C8))
SOTA
Fully Convolutional Networks for Semantic Segmentation arXiv:1411.4038
Colorectal Gland Segmentation:onSTARE
AUC· 2015-05-18
0.796
best: 0.835 (U-Net)
U-Net: Convolutional Networks for Biomedical Image Segmentation arXiv:1505.04597