A review of deep learning segmentation methods for carotid artery ultrasound images

Q Huang, H Tian, L Jia, Z Li, Z Zhou - Neurocomputing, 2023 - Elsevier
The carotid artery is a critical blood vessel that supplies blood to the brain, and its health and
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …

A coevolutionary estimation of distribution algorithm for group insurance portfolio

W Shi, WN Chen, S Kwong, J Zhang… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
With the rapid development of the insurance industry, more diverse insurance products are
produced for consumers. Insurance portfolio problems have received increasing attention …

Freehand three-dimensional ultrasound imaging of carotid artery using motion tracking technology

SW Chung, CC Shih, CC Huang - Ultrasonics, 2017 - Elsevier
Ultrasound imaging has been extensively used for determining the severity of carotid
atherosclerotic stenosis. In particular, the morphological characterization of carotid plaques …

Automated 3D geometry segmentation of the healthy and diseased carotid artery in free‐hand, probe tracked ultrasound images

J de Ruijter, M van Sambeek, F van de Vosse… - Medical …, 2020 - Wiley Online Library
Purpose Rupture of an arterosclerotic plaque in the carotid artery is a major cause of stroke.
Biomechanical analysis of plaques is under development aiming to aid the clinician in the …

Carotid artery wall segmentation in multispectral MRI by coupled optimal surface graph cuts

AM Arias-Lorza, J Petersen… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
We present a new three-dimensional coupled optimal surface graph-cut algorithm to
segment the wall of the carotid artery bifurcation from Magnetic Resonance (MR) images …

Semiautomatic segmentation of atherosclerotic carotid artery wall volume using 3D ultrasound imaging

MM Hossain, K AlMuhanna, L Zhao, BK Lal… - Medical …, 2015 - Wiley Online Library
Purpose: Rupture of atherosclerotic plaques in the carotid artery has been implicated in 20%
of strokes. 3D ultrasound (US) imaging is emerging as an attractive method to quantify …

Automatic diagnosis of common carotid artery disease using different machine learning techniques

MK Abd-Ellah, AAM Khalaf, RR Gharieb… - Journal of Ambient …, 2023 - Springer
Common carotid artery (CCA) diagnosis is very important for carrying out an assessment of
the severity of vascular disease and being able to suggest treatment solutions, whether with …

Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System

J Li, Y Huang, S Song, H Chen, J Shi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The objective of this study is to develop a deep-learning-based detection and diagnosis
technique for carotid atherosclerosis (CA) using a portable freehand 3-D ultrasound (US) …

Left atrial appendage segmentation and quantitative assisted diagnosis of atrial fibrillation based on fusion of temporal-spatial information

C Jin, J Feng, L Wang, H Yu, J Liu, J Lu… - Computers in biology and …, 2018 - Elsevier
In this paper, we present an approach for left atrial appendage (LAA) multi-phase fast
segmentation and quantitative assisted diagnosis of atrial fibrillation (AF) based on 4D-CT …

Automated registration of freehand B-mode ultrasound and magnetic resonance imaging of the carotid arteries based on geometric features

DDB Carvalho, AMA Lorza, WJ Niessen… - Ultrasound in medicine …, 2017 - Elsevier
An automated method for registering B-mode ultrasound (US) and magnetic resonance
imaging (MRI) of the carotid arteries is proposed. The registration uses geometric features …