Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images-Reference-Cited by-同舟云学术

Deep Learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images

Published:2022 Issue: Volume: Page:187-198
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
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Author:

Liapi Georgia D.^ORCID,Kyriacou Efthyvoulos^ORCID,Loizou Christos P.^ORCID,Panayides Andreas S.^ORCID,Pattichis Constantinos S.^ORCID,Nicolaides Andrew N.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-08341-9_16

Reference30 articles.

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2. Song, P., Fang, Z., Wang, H., Cai, Y., et al.: Global and regional prevalence, burden, and risk factors for carotid atherosclerosis: a systematic review, meta-analysis, and modelling study. Lancet Glob. Health 8(2), 721–729 (2020)

3. Hollander, M., Bots M.L, Iglesias del Sol A., Koudstaal P.J et al.: Carotid plaques increase the risk of stroke and subtypes of cerebral infarction in asymptomatic elderly: The Rotterdam Study. Circulation 105(24), 2872–2877 (2002)

4. Paraskevas, K.I., Nicolaides, A.N., Kakkos, S.K.: Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) study: what have we learned from it? Annals Translational Med. 8(19), 1271 (2020)

5. Howard, D.P.J., Gaziano, L., Rothwell, P.M.: Risk of stroke in relation to degree of asymptomatic carotid stenosis: a population-based cohort study, systematic review, and meta-analysis. Lancet Neurol. 20(3), 193–202 (2021)

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