SOTAVerified

Colorectal Gland Segmentation:

Papers

Showing 19 of 9 papers

TitleStatusHype
Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image SegmentationCode1
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology ImagesCode1
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image AnalysisCode1
Machine learning approach for segmenting glands in colon histology images using local intensity and texture featuresCode0
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images0
Learning Steerable Filters for Rotation Equivariant CNNs0
Rotation equivariant vector field networksCode0
Group Equivariant Convolutional NetworksCode0
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FCN8 (e)Hausdorff Distance (mm)199.5Unverified
2PatchCLDice0.89Unverified
3DSF-CNN (C8)Dice0.89Unverified
4Steerable G-CNN (C8)Dice0.89Unverified
5MILD-Net (e)Dice0.88Unverified
6Steerable G-CNN (C12)Dice0.87Unverified
7Steerable G-CNN (C12)Dice0.87Unverified
8G-CNN (C8)Dice0.87Unverified
9G-CNN (C4)Dice0.86Unverified
10Steerable G-CNN (e)Dice0.85Unverified
#ModelMetricClaimedVerifiedStatus
1U-NetAUC0.84Unverified
2U-Net (e)AUC0.83Unverified
3FCN8 (e)AUC0.8Unverified