Application of Artificial Intelligence Methods in Carotid Artery Segmentation: A Review
Author:
Affiliation:
1. College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
2. Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10038684.pdf?arnumber=10038684
Reference80 articles.
1. A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images
2. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black‐blood vessel wall MRI
3. Automatic localization of Common Carotid Artery in ultrasound images using Deep Learning
4. Carotid-Artery Intima and Media Thickness as a Risk Factor for Myocardial Infarction and Stroke in Older Adults
5. Deep Learning in Medical Ultrasound Image Analysis: A Review
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2. A 2.5D Self-Training Strategy for Carotid Artery Segmentation in T1-Weighted Brain Magnetic Resonance Images;Journal of Imaging;2024-07-03
3. Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque;European Journal of Radiology;2024-07
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