mlsanityData to 14 Oct 2026

IterNet: Retinal Image Segmentation Utilizing Structural Redundancy in Vessel Networks

arXiv 1912.05763 ↗First posted 12 Dec 2019eess.IV cs.CVcited by 57

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Abstract (arXiv)

Retinal vessel segmentation is of great interest for diagnosis of retinal vascular diseases. To further improve the performance of vessel segmentation, we propose IterNet, a new model based on UNet, with the ability to find obscured details of the vessel from the segmented vessel image itself, rather than the raw input image. IterNet consists of multiple iterations of a mini-UNet, which can be 4× deeper than the common UNet. IterNet also adopts the weight-sharing and skip-connection features to facilitate training; therefore, even with such a large architecture, IterNet can still learn from merely 10~20 labeled images, without pre-training or any prior knowledge. IterNet achieves AUCs of 0.9816, 0.9851, and 0.9881 on three mainstream datasets, namely DRIVE, CHASE-DB1, and STARE, respectively, which currently are the best scores in the literature. The source code is available.

Key facts. Cited by 57 papers in the map (data through 14 Oct 2026). First posted on arXiv 12 Dec 2019.

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Citing papers per year: 2021: 13; 2022: 11; 2023: 11; 2024: 10; 2025: 7; 2026: 5.

57 papers.

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  1. 2021FANet: A Feedback Attention Network for Improved Biomedical Image Segmentationcited by 36
  2. 2021RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Networkcited by 24
  3. 2021Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labelscited by 20
  4. 2021GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentationcited by 20
  5. 2021Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbationscited by 12
  6. 2022Local Intensity Order Transformation for Robust Curvilinear Object Segmentationcited by 12
  7. 2022RAVIR: A Dataset and Methodology for the Semantic Segmentation and Quantitative Analysis of Retinal Arteries and Veins in Infrared Reflectance Imagingcited by 12
  8. 2022DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentationcited by 12
  9. 2021Defending Medical Image Diagnostics against Privacy Attacks using Generative Methodscited by 9
  10. 2021Exploring The Limits Of Data Augmentation For Retinal Vessel Segmentationcited by 8
  11. 2022PointScatter: Point Set Representation for Tubular Structure Extractioncited by 8
  12. 2021Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentationcited by 7
38 more
  1. 2021BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentationcited by 6
  2. 2022SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Imagecited by 6
  3. 2021AOSLO-net: A deep learning-based method for automatic segmentation of retinal microaneurysms from adaptive optics scanning laser ophthalmoscope imagescited by 5
  4. 2023RSF-Conv: Rotation-and-Scale Equivariant Fourier Parameterized Convolution for Retinal Vessel Segmentationcited by 5
  5. 2023Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentationcited by 4
  6. 2024VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Imagescited by 4
  7. 2021EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentationcited by 3
  8. 2022Retinal Vessel Segmentation with Pixel-wise Adaptive Filterscited by 3
  9. 2023Curvilinear object segmentation in medical images based on ODoS filter and deep learning networkcited by 3
  10. 2024Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrorscited by 3
  11. 2025LFRA-Net: A Lightweight Focal and Region-Aware Attention Network for Retinal Vessel Segmentatiocited by 3
  12. 2023Learning Enhancement From Degradation: A Diffusion Model For Fundus Image Enhancementcited by 2
  13. 2023SCOPE: Structural Continuity Preservation for Medical Image Segmentationcited by 2
  14. 2023FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentationcited by 2
  15. 2024Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalizationcited by 2
  16. 2021Attention W-Net: Improved Skip Connections for better Representationscited by 1
  17. 2022MC-UNet Multi-module Concatenation based on U-shape Network for Retinal Blood Vessels Segmentationcited by 1
  18. 2022IterMiUnet: A lightweight architecture for automatic blood vessel segmentationcited by 1
  19. 2023A publicly available vessel segmentation algorithm for SLO imagescited by 1
  20. 2024Fusing Forces: Deep-Human-Guided Refinement of Segmentation Maskscited by 1
  21. 2024Convolutional Prompting for Broad-Domain Retinal Vessel Segmentationcited by 1
  22. 2025Improve Retinal Artery/Vein Classification via Channel Couplincited by 1
  23. 2025A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Searchcited by 1
  24. 2025SA-UNetv2: Rethinking Spatial Attention U-Net for Retinal Vessel Segmentationcited by 1
  25. 2025LFA-Net: A Lightweight Network with LiteFusion Attention for Retinal Vessel Segmentationcited by 1
  26. 2026CurvSegFlow: Time-Conditioned Flow Matching for Robust Segmentation of Curvilinear Structures in Noisy Biomedical Imagescited by 1
  27. 2021Blindness (Diabetic Retinopathy) Severity Scale Detectioncited by 0
  28. 2022Application of Top-hat Transformation for Enhanced Blood Vessel Extractioncited by 0
  29. 2022Parametric Scaling of Preprocessing assisted U-net Architecture for Improvised Retinal Vessel Segmentationcited by 0
  30. 2022BuyTheDips: PathLoss for improved topology-preserving deep learning-based image segmentationcited by 0
  31. 2023Elongated Physiological Structure Segmentation via Spatial and Scale Uncertainty-aware Networkcited by 0
  32. 2023Overview of Deep Learning Methods for Retinal Vessel Segmentationcited by 0
  33. 2023Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematuritycited by 0
  34. 2023SA Unet Improvedcited by 0
  35. 2024A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning featurescited by 0
  36. 2024Image-level Regression for Uncertainty-aware Retinal Image Segmentationcited by 0
  37. 2024Fundus image enhancement through direct diffusion bridgescited by 0
  38. 2024MDFI-Net: Multiscale Differential Feature Interaction Network for Accurate Retinal Vessel Segmentationcited by 0

50 most cited of 57 All 57 (JSON)