Review of deep learning applied to cardiovascular CT imaging
10.19745/j.1003-8868.2025189
- VernacularTitle:深度学习在心血管CT成像中的应用综述
- Author:
Tai-peng ZENG
1
;
Li-yuan FU
;
Hao HUANG
Author Information
1. 福建中医药大学中西医结合学院中西医结合研究院,福州 350122;福建中医药大学福总教学医院(第九〇〇医院)放射诊断科,福州 350025;福建中医药大学第一临床医学院,福州 350122
- Publication Type:Journal Article
- Keywords:
deep learning;
cardiovascular disease;
CT imaging;
machine learning;
diagnostic imaging
- From:
Chinese Medical Equipment Journal
2025;46(10):97-105
- CountryChina
- Language:Chinese
-
Abstract:
The advantages of deep learning were introduced when appled to CT imaging,and the present situation of deep learning applied to cardiovascular CT imaging was reviewed in terms of image quality enhancement and de-noising,cardiac structure segmentation and quantitative measurement.The problems of deep learning and challenges encountered during the application to cardiovascular CT imaging were analyzed,and the future development directions included cross-institutional collaborative research,enhanced standardization of the data acquisition process and improved model interpretability.[Chinese Medical Equipment Journal,2025,46(10):97-105]
