Diabetic Retinopathy Grading

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

19 shown of 19 papers with code (44 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.

• OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by Enhancing
  6 Feb 2023 3 repositories listed
  Non-mydriatic retinal color fundus photography (CFP) is widely available due to the advantage of not requiring pupillary dilation, however, is prone to poor quality due to operators, systemic imperfections, or…
• nnMobileNet: Rethinking CNN for Retinopathy Research
  2 Jun 2023 2 repositories listed
  Over the past few decades, convolutional neural networks (CNNs) have been at the forefront of the detection and tracking of various retinal diseases (RD).
• Identifying the key components in ResNet-50 for diabetic retinopathy grading from fundus images: a systematic investigation
  27 Oct 2021 2 repositories listed
  To identify the key components in a standard deep learning framework (ResNet-50) for DR grading, we systematically analyze the impact of several major components.
• Lesion-based Contrastive Learning for Diabetic Retinopathy Grading from Fundus Images
  17 Jul 2021 2 repositories listed
  Instead of taking entire images as the input in the common contrastive learning scheme, lesion patches are employed to encourage the feature extractor to learn representations that are highly discriminative for DR…
• Divergent Domains, Convergent Grading: Enhancing Generalization in Diabetic Retinopathy Grading
  4 Nov 2024 1 repository listed
  This approach ensures that our DG model remains robust against early susceptibility to label noise, even when only a limited dataset of non-DR fundus images is available for pretraining.
• Looking into Concept Explanation Methods for Diabetic Retinopathy Classification
  4 Oct 2024 1 repository listed
  Diabetic retinopathy is a common complication of diabetes, and monitoring the progression of retinal abnormalities using fundus imaging is crucial.
• CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
  4 Jul 2024 1 repository listed
  Diabetic retinopathy (DR) is a complication of diabetes and usually takes decades to reach sight-threatening levels.
• Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image
  19 Sep 2023 1 repository listed
  Domain adaptation (DA) has been widely applied in the diabetic retinopathy (DR) grading of unannotated ultra-wide-field (UWF) fundus images, which can transfer annotated knowledge from labeled color fundus images.
• Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains
  10 Jul 2023 1 repository listed
  Diabetic Retinopathy (DR) is a common complication of diabetes and a leading cause of blindness worldwide.
• LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
  20 Jun 2023 1 repository listed Syntology ran 4 of 13 samples · 9 unverified · 13 pointer-only (licence)
  While pre-trained deep networks on ImageNet and vision-language foundation models trained on web-scale data are prevailing approaches, their effectiveness on medical tasks is limited due to the significant domain shift…
• MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
  16 Jun 2023 1 repository listed
  Foundation models, often pre-trained with large-scale data, have achieved paramount success in jump-starting various vision and language applications.
• DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
  19 Mar 2023 1 repository listed
  However, while a substantial amount of diffusion-based research has focused on generative tasks, few studies have applied diffusion models to general medical image classification.
• Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images
  26 Nov 2022 1 repository listed
  However, automatic DR grading based on two-field fundus photography remains a challenging task due to the lack of publicly available datasets and effective fusion strategies.
• SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading
  20 Oct 2022 1 repository listed
  Specifically, two saliency-guided learning tasks are employed in SSiT: (1) Saliency-guided contrastive learning is conducted based on the momentum contrast, wherein fundus images' saliency maps are utilized to remove…
• INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical Examples
  31 Jul 2022 1 repository listed
  Convolutional neural networks (CNNs) have shown exceptional performance for a range of medical imaging tasks.
• Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images
  1 Oct 2020 1 repository listed
  Assessing the degree of disease severity in biomedical images is a task similar to standard classification but constrained by an underlying structure in the label space.
• Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
  3 Aug 2020 1 repository listed
  As a result, it exploits more discriminative features for DR grading.
• Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
  6 Jun 2019 1 repository listed
  We have attempted to reproduce the results in Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs, published in JAMA 2016; 316(22), using publicly…
• BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading
  15 May 2019 1 repository listed
  Diabetic retinopathy (DR) is a common retinal disease that leads to blindness.

Syntology lines on 1 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.