VF-CNN (C4)

Reported on 6 benchmarks across 3 tasks · 1 paper · 1 SOTA

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

Medical6 results

Colorectal Gland Segmentation:onCRAG
Hausdorff Distance (mm)· 2016-12-29
318.9
SOTA
Rotation equivariant vector field networks arXiv:1612.09346
Breast Tumour ClassificationonPCam
AUC· 2016-12-29
0.871
best: 0.975 (DSF-CNN (C8))
Rotation equivariant vector field networks arXiv:1612.09346
Colorectal Gland Segmentation:onCRAG
Dice· 2016-12-29
0.721
best: 0.892 (PatchCL)
Rotation equivariant vector field networks arXiv:1612.09346
Colorectal Gland Segmentation:onCRAG
F1-score· 2016-12-29
0.711
best: 0.881 (PatchCL)
Rotation equivariant vector field networks arXiv:1612.09346
Multi-tissue Nucleus SegmentationonKumar
Dice· 2016-12-29
0.8
best: 0.843 (GC-MHVN)
Rotation equivariant vector field networks arXiv:1612.09346
Multi-tissue Nucleus SegmentationonKumar
Hausdorff Distance (mm)· 2016-12-29
49.9
best: 60 (DSF-CNN (C8))
Rotation equivariant vector field networks arXiv:1612.09346