mlsanityData to 7 Oct 2026

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks

arXiv 1706.09318 ↗First posted 28 Jun 2017cs.CV cs.LGcited by 17

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Abstract (arXiv)

Retinal vessel segmentation is an indispensable step for automatic detection of retinal diseases with fundoscopic images. Though many approaches have been proposed, existing methods tend to miss fine vessels or allow false positives at terminal branches. Let alone under-segmentation, over-segmentation is also problematic when quantitative studies need to measure the precise width of vessels. In this paper, we present a method that generates the precise map of retinal vessels using generative adversarial training. Our methods achieve dice coefficient of 0.829 on DRIVE dataset and 0.834 on STARE dataset which is the state-of-the-art performance on both datasets.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Jun 2017.

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Citing papers per year: 2021: 7; 2022: 5; 2023: 2; 2024: 3.

17 papers.

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  1. 2022QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translationcited by 39
  2. 2021RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Networkcited by 24
  3. 2021The RETA Benchmark for Retinal Vascular Tree Analysiscited by 12
  4. 2023Spectral Normalization and Dual Contrastive Regularization for Image-to-Image Translationcited by 11
  5. 2021Jekyll: Attacking Medical Image Diagnostics using Deep Generative Modelscited by 10
  6. 2022Orientation and Context Entangled Network for Retinal Vessel Segmentationcited by 8
  7. 2021Learning to Address Intra-segment Misclassification in Retinal Imagingcited by 6
  8. 2022PCA: Semi-supervised Segmentation with Patch Confidence Adversarial Trainingcited by 2
  9. 2024Retinal Vessel Segmentation with Deep Graph and Capsule Reasoningcited by 2
  10. 2021CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networkscited by 1
  11. 2022Progressive GANomaly: Anomaly detection with progressively growing GANscited by 1
  12. 2022MLP-GAN for Brain Vessel Image Segmentationcited by 1
5 more
  1. 2024Revisiting Generative Adversarial Networks for Binary Semantic Segmentation on Imbalanced Datasetscited by 1
  2. 2024Enhancing Retinal Vascular Structure Segmentation in Images With a Novel Design Two-Path Interactive Fusion Module Modelcited by 1
  3. 2021TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priorscited by 0
  4. 2021Unsupervised Domain Adaptation for Retinal Vessel Segmentation with Adversarial Learning and Transfer Normalizationcited by 0
  5. 2023Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematuritycited by 0