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Colorectal Gland Segmentation On Crag

Metrics

Dice
F1-score
Hausdorff Distance (mm)

Results

Performance results of various models on this benchmark

Paper Title
VF-CNN (C4)0.7210.711318.9Rotation equivariant vector field networks
VF-CNN (C8)0.7580.745287.5Rotation equivariant vector field networks
VF-CNN (C12)0.7820.776251.9Rotation equivariant vector field networks
FCN8 (e)--199.5U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net (e)0.844-196.9U-Net: Convolutional Networks for Biomedical Image Segmentation
G-CNN (C12)0.8340.818192.2Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Steerable G-CNN (e)0.8480.811175.9Learning Steerable Filters for Rotation Equivariant CNNs
G-CNN (C4)0.8560.833170.4Group Equivariant Convolutional Networks
Steerable G-CNN (C12)0.8690.837164.8Learning Steerable Filters for Rotation Equivariant CNNs
G-CNN (C8)0.8660.837157.4Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Steerable G-CNN (C12)0.8700.855156.2Learning Steerable Filters for Rotation Equivariant CNNs
MILD-Net (e)0.8830.869146.2MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images
Steerable G-CNN (C8)0.8880.861139.5Learning Steerable Filters for Rotation Equivariant CNNs
DSF-CNN (C8)0.8910.874138.4Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
PatchCL0.8920.881119.5Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
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Colorectal Gland Segmentation On Crag | SOTA | HyperAI