Overview

Schema Version

https://atlas.rsna.org/schemas/2025-11/dataset.json

Name

ImageCAS

Link

https://doi.org/10.1016/j.compmedimag.2023.102287

Indexing

Keywords: Coronary artery segmentation, Computed tomography angiography, Cardiovascular disease, Vessel stenosis, Coronary artery disease

Content: CT, VA, CA

Author(s)

Zeng A

Wu C

Lin G

Xie W

Hong J

Huang M

Zhuang J

Bi S

Pan D

Ullah N

Khan KN

Wang T

Shi Y

Li X

Xu X

Organization(s)

Guangdong University of Technology

Shenzhen Children's Hospital

Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University

Missouri University of Science and Technology

Guangdong Polytechnic Normal University

University of Engineering and Technology, Mardan

University of Notre Dame

The Hong Kong University of Science and Technology

Contact

xiao.wei.xu@foxmail.com

Comments

A large-scale dataset for coronary artery segmentation on CTA images. The dataset is accompanied by a benchmark of several typical existing methods and a proposed strong baseline method.

Date

Published: 2023-08-14

References

[1] Zeng A, et al.. "ImageCAS: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images". Computerized Medical Imaging and Graphics. 2023. doi:10.1016/j.compmedimag.2023.102287.

Dataset

Motivation

To address the lack of large, public datasets for coronary artery segmentation, which hinders the ability to judge the effectiveness of methods and slows further exploration of this problem. This dataset provides a large-scale benchmark to facilitate research.