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Related Experiment Video

Updated: Jul 6, 2026

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images

Semi-Automatic Graphical Tool for Measuring Coronary Artery Spatially Weighted Calcium Score from Gated Cardiac Computed Tomography Images

Published on: September 22, 2023

[MSCNet: Coronary artery segmentation network with multi-scale cascade encoding and dynamic spatial context

An Zeng¹, Xianhang Cheng¹, Dan Pan^2,3

¹School of Computers, Guangdong University of Technology, Guangzhou 510006, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi

|June 28, 2026

Summary

This summary is machine-generated.

This study introduces MSCNet, a new deep learning model for accurate coronary artery segmentation in CT angiography images. MSCNet enhances segmentation accuracy, aiding in the clinical diagnosis of coronary heart disease.

Area of Science:

Medical Imaging
Computer Vision
Artificial Intelligence

Keywords:

Coronary artery disease Large kernel convolution Multi-scale cascade Re-parameterization Segmentation Spatial frequency matrix

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