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 state of the art review on intima–media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound

F Molinari, G Zeng, JS Suri - Computer methods and programs in …, 2010 - Elsevier
Last 10 years have witnessed the growth of many computer applications for the
segmentation of the vessel wall in ultrasound imaging. Epidemiological studies showed that …

Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound

PK Jain, N Sharma, AA Giannopoulos, L Saba… - Computers in biology …, 2021 - Elsevier
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …

[HTML][HTML] Unseen artificial intelligence—Deep learning paradigm for segmentation of low atherosclerotic plaque in carotid ultrasound: A multicenter cardiovascular …

PK Jain, N Sharma, L Saba, KI Paraskevas, MK Kalra… - Diagnostics, 2021 - mdpi.com
Background: The early detection of carotid wall plaque is recommended in the prevention of
cardiovascular disease (CVD) in moderate-risk patients. Previous techniques for B-mode …

Automated localization and segmentation techniques for B-mode ultrasound images: A review

KM Meiburger, UR Acharya, F Molinari - Computers in biology and …, 2018 - Elsevier
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework

M Biswas, L Saba, T Omerzu, AM Johri… - Journal of digital …, 2021 - Springer
Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide.
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …

Artificial intelligence framework for predictive cardiovascular and stroke risk assessment models: A narrative review of integrated approaches using carotid ultrasound

AD Jamthikar, D Gupta, L Saba, NN Khanna… - Computers in biology …, 2020 - Elsevier
Recent findings Cardiovascular disease (CVD) is the leading cause of mortality and poses
challenges for healthcare providers globally. Risk-based approaches for the management of …

Atherosclerotic risk stratification strategy for carotid arteries using texture-based features

UR Acharya, SV Sree, MMR Krishnan, F Molinari… - Ultrasound in medicine …, 2012 - Elsevier
Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke.
Patients have to be carefully selected for stenosis treatments as they carry some risk. Since …

Extraction of vascular wall in carotid ultrasound via a novel boundary-delineation network

Q Huang, L Jia, G Ren, X Wang, C Liu - Engineering Applications of …, 2023 - Elsevier
Ultrasound imaging plays an essential role in the diagnosis of vascular lesions. Accurate
segmentation of the vascular wall is important for preventing, diagnosing, and treating …

[HTML][HTML] Ultrasound imaging for risk assessment in atherosclerosis

DC Steinl, BA Kaufmann - International journal of molecular sciences, 2015 - mdpi.com
Atherosclerosis and its consequences like acute myocardial infarction or stroke are highly
prevalent in western countries, and the incidence of atherosclerosis is rapidly rising in …