Aortic atherosclerosis evaluation using deep learning based on non-contrast CT: A retrospective multi-center study

Aortic atherosclerosis evaluation using deep learning based on non-contrast CT: A retrospective multi-center study

Summary: Non-contrast CT (NCCT) is widely used in clinical practice and holds potential for large-scale atherosclerosis screening, yet its application in detecting and grading aortic atherosclerosis remains limited. To address this, we propose Aortic-AAE, an automated segmentation system based on a...

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Bibliographic Details
Main Authors: Mingliang Yang, Jinhao Lyu, Yongqin Xiong, Aoxue Mei, Jianxing Hu, Yue Zhang, Xiaoyu Wang, Xiangbing Bian, Jiayu Huang, Runze Li, Xinbo Xing, Sulian Su, Junhang Gao, Xin Lou
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:iScience
Subjects:
Cardiovascular medicine
Artificial intelligence
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004225013616
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http://www.sciencedirect.com/science/article/pii/S2589004225013616

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