Colorectal Gland Segmentation:

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• U-Net: Convolutional Networks for Biomedical Image Segmentation
  18 May 2015 487 repositories listed Syntology ran 510 of 757 samples · 247 unverified · 426 pointer-only (licence)
  There is large consent that successful training of deep networks requires many thousand annotated training samples.
• Rotation equivariant vector field networks
  29 Dec 2016 3 repositories listed
  In many computer vision tasks, we expect a particular behavior of the output with respect to rotations of the input image.
• Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
  1 Jan 2023 2 repositories listed
  Although recent works in semi-supervised learning (SemiSL) have accomplished significant success in natural image segmentation, the task of learning discriminative representations from limited annotations has been an…
• Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
  6 Apr 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Histology images are inherently symmetric under rotation, where each orientation is equally as likely to appear.
• Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
  20 Feb 2020 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  This study is focused on histopathology image analysis applications for which it is desirable that the arbitrary global orientation information of the imaged tissues is not captured by the machine learning models.
• Machine learning approach for segmenting glands in colon histology images using local intensity and texture features
  15 May 2019 1 repository listed
  A multilevel random forest technique in a hierarchical way is proposed.
• Group Equivariant Convolutional Networks
  24 Feb 2016 1 repository listed
  We introduce Group equivariant Convolutional Neural Networks (G-CNNs), a natural generalization of convolutional neural networks that reduces sample complexity by exploiting symmetries.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.