Artificial intelligence in symptomatic carotid plaque detection: A narrative review

G Miceli, G Rizzo, MG Basso, E Cocciola… - Applied Sciences, 2023 - mdpi.com
Identifying atherosclerotic disease is the mainstay for the correct diagnosis of the large artery
atherosclerosis ischemic stroke subtype and for choosing the right therapeutic strategy in …

Application of artificial intelligence methods in carotid artery segmentation: a review

Y Wang, Y Yao - IEEE Access, 2023 - ieeexplore.ieee.org
The carotid artery is one of the most important blood vessels that supply blood to the brain. If
thrombus occurs, it may cause cerebral ischemic stroke and endanger life. Carotid intima …

Deep learning-based measurement of total plaque area in B-mode ultrasound images

R Zhou, F Guo, MR Azarpazhooh… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke
and monitoring carotid plaque progression. Since delineation of carotid plaques is required …

Deep learning-based carotid plaque segmentation from B-mode ultrasound images

R Zhou, MR Azarpazhooh, JD Spence… - Ultrasound in medicine …, 2021 - Elsevier
Carotid ultrasound measurement of total plaque area (TPA) provides a method for
quantifying carotid plaque burden and monitoring changes in carotid atherosclerosis in …

Deep learning for carotid plaque segmentation using a dilated U-Net architecture

NH Meshram, CC Mitchell, S Wilbrand… - Ultrasonic …, 2020 - journals.sagepub.com
Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning
is presented in this work. We report on 101 severely stenotic carotid plaque patients. A …

IFSS-Net: Interactive few-shot siamese network for faster muscle segmentation and propagation in volumetric ultrasound

D Al Chanti, VG Duque, M Crouzier… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
We present an accurate, fast and efficient method for segmentation and muscle mask
propagation in 3D freehand ultrasound data, towards accurate volume quantification. A …

Automated segmentation of common carotid artery in ultrasound images

JH Gagan, HS Shirsat, GP Mathias, BV Mallya… - IEEE …, 2022 - ieeexplore.ieee.org
We propose a basis splines-based based active contour method for the segmentation of
lumen boundary and media adventitia boundary from transverse and longitudinal B-mode …

Bimodal automated carotid ultrasound segmentation using geometrically constrained deep neural networks

C Azzopardi, KP Camilleri… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque
morphology is an important clinical task which allows monitoring of the risk of plaque rupture …

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 …

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images

M **e, Y Li, Y Xue, L Huntress… - 2020 19th IEEE …, 2020 - ieeexplore.ieee.org
Carotid ultrasound is a screening modality used by physicians to direct treatment in the
prevention of ischemic stroke in high-risk patients. It is a time intensive process that requires …