Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study-Reference-Cited by-同舟云学术

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Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study

Published:2024-08 Issue:8 Volume:79 Page:e994-e1002
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Zhai D.^ORCID,Liu R.,Liu Y.^ORCID,Yin H.^ORCID,Tang W.,Yang J.,Liu K.,Fan G.,Ju S.,Cai W.

Publisher

Elsevier BV

Reference25 articles.

1. Risk factors and stroke mechanisms in atherosclerotic stroke: intracranial compared with extracranial and anterior compared with posterior circulation disease;Kim;Stroke,2012

2. The correlation between collagen types and ultrasound feature score in evaluating the vulnerability of carotid artery plaque;Han;Front Cardiovasc Med,2021

3. Sex differences in global disability-adjusted life years due to ischemic stroke: findings from global burden of diseases study 2019;Cao;Scientific Rep,2022

4. Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019;Feigin;Lancet Neurol,2021

5. Prediction for rupture risk of carotid artery plaques: a comparative study of 3D-GSM and CAS system;Zhang;Eur J Radiol,2016

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