A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study

A deep learning model for carotid plaques detection based on CTA images: a two stepwise early-stage clinical validation study

ObjectiveTo develop a deep learning (DL) model for carotid plaque detection based on CTA images and evaluate the clinical application feasibility and value of the model.MethodsWe retrospectively collected data from patients with carotid atherosclerotic plaques who underwent continuous CTA examinatio...

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Bibliographic Details
Main Authors: Zhongping Guo, Ying Liu, Jingxu Xu, Chencui Huang, Fandong Zhang, Chongchang Miao, Yonggang Zhang, Mengshuang Li, Hangsheng Shan, Yan Gu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurology
Subjects:
computed tomography angiography
artificial intelligence
head and neck
carotid plaque
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1480792/full
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https://www.frontiersin.org/articles/10.3389/fneur.2024.1480792/full

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