Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis-Reference-Cited by-同舟云学术

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Bi-attention DoubleUNet: A deep learning approach for carotid artery segmentation in transverse view images for non-invasive stenosis diagnosis

Published:2024-08 Issue: Volume:94 Page:106350
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Ottakath Najmath^ORCID,Akbari Younes^ORCID,Al-Maadeed Somaya Ali,Bouridane Ahmed^ORCID,Zughaier Susu M.^ORCID,Chowdhury Muhammad E.H.^ORCID

Funder

Qatar University

Publisher

Elsevier BV

Reference55 articles.

1. World Health Organization, Cardiovascular Diseases, WHO, URL https://www.who.int/health-topics/cardiovascular-diseases, Accessed: May 20, 2023.

2. European Society of Cardiology: cardiovascular disease statistics 2021;Timmis;Eur. Heart J.,2022

3. The carotid artery and stroke;Sherman;Am. Fam. Phys.,1989

4. Ultrasound assessment of carotid arteries: current concepts, methodologies, diagnostic criteria, and technological advancements;Murray;Echocardiography,2018

5. Intima-media thickness: setting a standard for a completely automated method of ultrasound measurement;Molinari;IEEE Trans. Ultrason. Ferroelectr. Freq. Control,2010

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