Colorectal Polyps Characterization

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

8 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 (8 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.

• ResUNet++: An Advanced Architecture for Medical Image Segmentation
  16 Nov 2019 6 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Accurate computer-aided polyp detection and segmentation during colonoscopy examinations can help endoscopists resect abnormal tissue and thereby decrease chances of polyps growing into cancer.
• DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation
  8 Jun 2020 4 repositories listed Syntology ran 2 of 5 samples · 3 unverified · 5 pointer-only (licence)
  The encouraging results, produced on various medical image segmentation datasets, show that DoubleU-Net can be used as a strong baseline for both medical image segmentation and cross-dataset evaluation testing to…
• NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy
  22 Apr 2021 3 repositories listed
  To utilize automated methods in clinical settings, it is crucial to design lightweight models with low latency such that they can be integrated with low-end endoscope hardware devices.
• Feature Selection Gates with Gradient Routing for Endoscopic Image Computing
  7 Oct 2024 2 repositories listed
  To address overfitting and enhance model generalization in gastroenterological polyp size assessment, our study introduces Feature Selection Gates (FSG) alongside Gradient Routing (GR) for dynamic feature selection.
• UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
  25 Jan 2021 1 repository listed
  Histopathological characterization of colorectal polyps allows to tailor patients' management and follow up with the ultimate aim of avoiding or promptly detecting an invasive carcinoma.
• DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation
  30 Dec 2020 1 repository listed
  Colonoscopy is the gold standard for examination and detection of colorectal polyps.
• Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning
  15 Nov 2020 1 repository listed
  Benchmarking of novel methods can provide a direction to the development of automated polyp detection and segmentation tasks.

Syntology lines on 2 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.