Optic Disc Segmentation

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

5 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

10 shown of 10 papers with code (19 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.
• CE-Net: Context Encoder Network for 2D Medical Image Segmentation
  7 Mar 2019 3 repositories listed
  In this paper, we propose a context encoder network (referred to as CE-Net) to capture more high-level information and preserve spatial information for 2D medical image segmentation.
• Medical Image Segmentation Using Squeeze-and-Expansion Transformers
  20 May 2021 2 repositories listed Syntology ran 13 of 20 samples · 7 unverified · 20 pointer-only (licence)
  Medical image segmentation is important for computer-aided diagnosis.
• Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation
  8 Jun 2023 1 repository listed
  In C²SDG, the shallower features of each image and its style-augmented counterpart are extracted and used for contrastive training, resulting in the disentangled style representations and structure representations.
• Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation
  12 Jan 2023 1 repository listed
  Since the two tasks rely on similar feature information, the unlabeled data effectively enhances the representation of the network to the lesion regions and further improves the segmentation performance.
• Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation
  13 Sep 2021 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  In the DAC module, a dynamic convolutional head is conditioned on the predicted domain code of the input to make our model adapt to the unseen target domain.
• U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
  9 Jul 2021 1 repository listed
  The network consists of a novel bottleneck attention block that combines and refines self-attention, channel attention, and relative-position attention to highlight retinal abnormalities that may be important for fovea…
• Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
  30 Jul 2019 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  Given that a large portion of medical imaging problems are effectively segmentation problems, we analyze the impact of adversarial examples on deep learning-based image segmentation models.
• ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
  25 Jul 2019 1 repository listed
  Segmentation is a fundamental task in medical image analysis.
• Deep Retinal Image Understanding
  5 Sep 2016 1 repository listed
  This paper presents Deep Retinal Image Understanding (DRIU), a unified framework of retinal image analysis that provides both retinal vessel and optic disc segmentation.

Syntology lines on 4 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.