mlsanityData to 7 Oct 2026

Deep Vessel Segmentation By Learning Graphical Connectivity

arXiv 1806.02279 ↗First posted 6 Jun 2018cs.CVcited by 43

Not on the map. Why?

Abstract (arXiv)

We propose a novel deep-learning-based system for vessel segmentation. Existing methods using CNNs have mostly relied on local appearances learned on the regular image grid, without considering the graphical structure of vessel shape. To address this, we incorporate a graph convolutional network into a unified CNN architecture, where the final segmentation is inferred by combining the different types of features. The proposed method can be applied to expand any type of CNN-based vessel segmentation method to enhance the performance. Experiments show that the proposed method outperforms the current state-of-the-art methods on two retinal image datasets as well as a coronary artery X-ray angiography dataset.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). First posted on arXiv 6 Jun 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 10; 2023: 10; 2024: 7; 2025: 5; 2026: 4.

43 papers.

Sort:

By area:

  1. 2021Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Futurecited by 67
  2. 2022A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspectivecited by 56
  3. 2023Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Networkcited by 21
  4. 2024Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation with Selective State-Space Modelcited by 20
  5. 2023Retinal Vessel Segmentation via a Multi-resolution Contextual Network and Adversarial Learningcited by 19
  6. 2021Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbationscited by 12
  7. 2023DIAS: A Dataset and Benchmark for Intracranial Artery Segmentation in DSA sequencescited by 10
  8. 2023NexToU: Efficient Topology-Aware U-Net for Medical Image Segmentationcited by 9
  9. 2022Orientation and Context Entangled Network for Retinal Vessel Segmentationcited by 8
  10. 2022PointScatter: Point Set Representation for Tubular Structure Extractioncited by 8
  11. 2023VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clusteringcited by 8
  12. 2021Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Imagescited by 7
31 more
  1. 2022Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applicationscited by 7
  2. 2023Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentationcited by 7
  3. 2022Structure and position-aware graph neural network for airway labelingcited by 6
  4. 2021Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentationcited by 5
  5. 2022Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiographycited by 5
  6. 2024Deep vessel segmentation based on a new combination of vesselness filterscited by 5
  7. 2022Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequencecited by 4
  8. 2023RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentationcited by 4
  9. 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Imagecited by 4
  10. 2021EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentationcited by 3
  11. 2022A Binary Characterization Method for Shape Convexity and Applicationscited by 3
  12. 2026ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approachcited by 3
  13. 2021Self-Supervised Learning from Unlabeled Fundus Photographs Improves Segmentation of the Retinacited by 2
  14. 2022SPNet: A novel deep neural network for retinal vessel segmentation based on shared decoder and pyramid-like losscited by 2
  15. 2022OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentationcited by 2
  16. 2023SCOPE: Structural Continuity Preservation for Medical Image Segmentationcited by 2
  17. 2024Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalizationcited by 2
  18. 2024Retinal Vessel Segmentation with Deep Graph and Capsule Reasoningcited by 2
  19. 2025GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphscited by 2
  20. 2024Continuous and complete liver vessel segmentation with graph-attention guided diffusioncited by 1
  21. 2021Automated airway segmentation by learning graphical structurecited by 0
  22. 2023Overview of Deep Learning Methods for Retinal Vessel Segmentationcited by 0
  23. 2023Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematuritycited by 0
  24. 2024Semi-overcomplete convolutional auto-encoder embedding as shape priors for deep vessel segmentationcited by 0
  25. 2024Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structurescited by 0
  26. 2025Do Segmentation Models Understand Vascular Structure? A Blob-Based XAI Frameworkcited by 0
  27. 2025Neovascularization Segmentation via a Multilateral Interaction-Enhanced Graph Convolutional Networkcited by 0
  28. 2025A Multi-Resolution Benchmark Framework for Spatial Reasoning Assessment in Neural Networkscited by 0
  29. 2026Local-sensitive connectivity filter (ls-cf): A post-processing unsupervised improvement of the frangi, hessian and vesselness filters for multimodal vessel segmentationcited by 0
  30. 2026UI-VISA: U-Net Initialized Vascular Image Segmentation Architecturecited by 0
  31. 2026Temporally Consistent Graph Extraction and Matching for Longitudinal Angiographic Imagescited by 0