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Plattform
Startseite
SOTA
Kolorektale Drüsen Segmentierung
Colorectal Gland Segmentation On Crag
Colorectal Gland Segmentation On Crag
Metriken
Dice
F1-score
Hausdorff Distance (mm)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Dice
F1-score
Hausdorff Distance (mm)
Paper Title
VF-CNN (C4)
0.721
0.711
318.9
Rotation equivariant vector field networks
VF-CNN (C8)
0.758
0.745
287.5
Rotation equivariant vector field networks
VF-CNN (C12)
0.782
0.776
251.9
Rotation equivariant vector field networks
FCN8 (e)
-
-
199.5
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net (e)
0.844
-
196.9
U-Net: Convolutional Networks for Biomedical Image Segmentation
G-CNN (C12)
0.834
0.818
192.2
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Steerable G-CNN (e)
0.848
0.811
175.9
Learning Steerable Filters for Rotation Equivariant CNNs
G-CNN (C4)
0.856
0.833
170.4
Group Equivariant Convolutional Networks
Steerable G-CNN (C12)
0.869
0.837
164.8
Learning Steerable Filters for Rotation Equivariant CNNs
G-CNN (C8)
0.866
0.837
157.4
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Steerable G-CNN (C12)
0.870
0.855
156.2
Learning Steerable Filters for Rotation Equivariant CNNs
MILD-Net (e)
0.883
0.869
146.2
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
Steerable G-CNN (C8)
0.888
0.861
139.5
Learning Steerable Filters for Rotation Equivariant CNNs
DSF-CNN (C8)
0.891
0.874
138.4
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
PatchCL
0.892
0.881
119.5
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
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