mlsanityData to 14 Oct 2026

ImageCAS: A Large-Scale Dataset and Benchmark for Coronary Artery Segmentation based on Computed Tomography Angiography Images

arXiv 2211.01607 ↗First posted 3 Nov 2022eess.IV cs.LGcited by 55

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Abstract (arXiv)

Cardiovascular disease (CVD) accounts for about half of non-communicable diseases. Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed tomography angiography (CTA) is one of the widely used noninvasive imaging modalities in coronary artery diagnosis due to its superior image resolution. Clinically, segmentation of coronary arteries is essential for the diagnosis and quantification of coronary artery disease. Recently, a variety of works have been proposed to address this problem. However, on one hand, most works rely on in-house datasets, and only a few works published their datasets to the public which only contain tens of images. On the other hand, their source code have not been published, and most follow-up works have not made comparison with existing works, which makes it difficult to judge the effectiveness of the methods and hinders the further exploration of this challenging yet critical problem in the community. In this paper, we propose a large-scale dataset for coronary artery segmentation on CTA images. In addition, we have implemented a benchmark in which we have tried our best to implement several typical existing methods. Furthermore, we propose a strong baseline method which combines multi-scale patch fusion and two-stage processing to extract the details of vessels. Comprehensive experiments show that the proposed method achieves better performance than existing works on the proposed large-scale dataset. The benchmark and the dataset are published at https://github.com/XiaoweiXu/ImageCAS-A-Large-Scale-Dataset-and-Benchmark-for-Coronary-Artery-Segmentation-based-on-CT.

Key facts. Cited by 55 papers in the map (data through 14 Oct 2026). Builds on 27 of its 96 references that are in the map. First posted on arXiv 3 Nov 2022.

Builds on

27 of 96 references.

References · 27

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Citing papers per year: 2023: 4; 2024: 10; 2025: 16; 2026: 25.

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  1. 2024Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Modelscited by 10
  2. 2023VSR-Net: Vessel-like Structure Rehabilitation Network with Graph Clusteringcited by 8
  3. 2024Real World Federated Learning with a Knowledge Distilled Transformer for Cardiac CT Imagingcited by 8
  4. 20243DGR-CAR: Coronary artery reconstruction from ultra-sparse 2D X-ray views with a 3D Gaussians representationcited by 7
  5. 2024DeepCA: Deep Learning-based 3D Coronary Artery Tree Reconstruction from Two 2D Non-simultaneous X-ray Angiography Projectionscited by 6
  6. 2025DeformCL: Learning Deformable Centerline Representation for Vessel Extraction in 3D Medical Imagecited by 5
  7. 2025Hierarchical Part-based Generative Model for Realistic 3D Blood Vesselcited by 4
  8. 2024Flemme: A Flexible and Modular Learning Platform for Medical Imagescited by 3
  9. 2024NeCA: 3D Coronary Artery Tree Reconstruction from Two 2D Projections via Neural Implicit Representationcited by 3
  10. 2024An Uncertainty-Aware Generalization Framework for Cardiovascular Image Segmentationcited by 3
  11. 2025A topology-preserving three-stage framework for fully-connected coronary artery extractioncited by 3
  12. 2025HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Losscited by 3
38 more
  1. 2025Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancementcited by 3
  2. 2023Deep Learning for Vascular Segmentation and Applications in Phase Contrast Tomography Imagingcited by 2
  3. 2025Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imagingcited by 2
  4. 2025A public cardiac CT dataset featuring the left atrial appendagecited by 2
  5. 2024A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representationcited by 1
  6. 2025Relational Anatomical Supervision for Accurate 3D Multi-Chamber Cardiac Mesh Reconstructioncited by 1
  7. 2025Unleashing Vision Foundation Models for Coronary Artery Segmentation: Parallel ViT-CNN Encoding and Variational Fusioncited by 1
  8. 2025CASR-Net: An Image Processing-focused Deep Learning-based Coronary Artery Segmentation and Refinement Network for X-ray Coronary Angiogramcited by 1
  9. 2026High-Fidelity Medical Shape Generation via Skeletal Latent Diffusioncited by 1
  10. 2026VecHeart: Holistic Four-Chamber Cardiac Anatomy Modeling via Hybrid VecSetscited by 1
  11. 2026Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreementcited by 1
  12. 2026A Neighborhood Attention Transformer Network for Enhanced 3D Segmentation of the Left Anterior Descending Arterycited by 1
  13. 2026ImageCAS-X: a dataset and benchmark for coronary artery segmentation and centerline extraction in coronary CT angiographycited by 1
  14. 2023Diagnosis-oriented Medical Image Compression with Efficient Transfer Learningcited by 0
  15. 2023Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiographycited by 0
  16. 2024Leveraging Frequency Domain Learning in 3D Vessel Segmentationcited by 0
  17. 2024RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentationcited by 0
  18. 2025StructDiff: Structure-aware Diffusion Model for 3D Fine-grained Medical Image Synthesiscited by 0
  19. 2025Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiographycited by 0
  20. 2025ViG3D-UNet: Volumetric Vascular Connectivity-Aware Segmentation via 3D Vision Graph Representationcited by 0
  21. 2025Rethinking the Detail-Preserved Completion of Complex Tubular Structures based on Point Cloud: a Dataset and a Benchmarkcited by 0
  22. 2025Blood Pressure Prediction for Coronary Artery Disease Diagnosis using Coronary Computed Tomography Angiographycited by 0
  23. 2025Anatomy Guided Coronary Artery Segmentation from CCTA Using Spatial Frequency Joint Modelingcited by 0
  24. 2026Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentationcited by 0
  25. 2026Learning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervisioncited by 0
  26. 2026Enhancing the Detection of Coronary Artery Disease Using Machine Learningcited by 0
  27. 2026VesselFusion: Diffusion Models for Vessel Centerline Extraction from 3D CT Imagescited by 0
  28. 2026Multi-View Deformable Convolution Meets Visual Mamba for Coronary Artery Segmentationcited by 0
  29. 2026CORA: Generalizable coronary artery disease assessment and risk stratification from coronary CT angiography using pathology-centric representation learningcited by 0
  30. 2026AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imagingcited by 0
  31. 2026SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editingcited by 0
  32. 2026Uncertainty-Guided Conservative Propagation for Structured Inference in Vessel Segmentationcited by 0
  33. 2026Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Modelscited by 0
  34. 2026MARVEL: Universal Murray's Law-informed Vessel Tree Segmentation and Topology Estimationcited by 0
  35. 2026Anatomy-Grounded Synthetic Coronary Angiography for Geometry-Informed Multi-View Matchingcited by 0
  36. 2026Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistencycited by 0
  37. 2026Bi-PT: Bidirectional Cross-Attention Point Transformers for Four-Chamber Heart Reconstruction from Sparse Cardiac MRI Datacited by 0
  38. 2026Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomographycited by 0

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