Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
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 …
function are essential for preventing cardiovascular diseases such as stroke. Ultrasound …
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
NAG-Net: Nested attention-guided learning for segmentation of carotid lumen-intima interface and media-adventitia interface
Q Huang, L Zhao, G Ren, X Wang, C Liu… - Computers in Biology and …, 2023 - Elsevier
Cardiovascular diseases (CVD), as the leading cause of death in the world, poses a serious
threat to human health. The segmentation of carotid Lumen-intima interface (LII) and Media …
threat to human health. The segmentation of carotid Lumen-intima interface (LII) and Media …
Automated localization and segmentation techniques for B-mode ultrasound images: A review
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 …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
Attention-based UNet deep learning model for plaque segmentation in carotid ultrasound for stroke risk stratification: an artificial intelligence paradigm
Stroke and cardiovascular diseases (CVD) significantly affect the world population. The
early detection of such events may prevent the burden of death and costly surgery …
early detection of such events may prevent the burden of death and costly surgery …
Unseen artificial intelligence—Deep learning paradigm for segmentation of low atherosclerotic plaque in carotid ultrasound: A multicenter cardiovascular study
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 …
cardiovascular disease (CVD) in moderate-risk patients. Previous techniques for B-mode …
A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework
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 …
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence …
Stroke risk assessment using deep learning (DL) requires automated, accurate, and real-
time risk assessment while ensuring compact model size. Previous DL paradigms suffered …
time risk assessment while ensuring compact model size. Previous DL paradigms suffered …
Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
G Konstantonis, KV Singh, PP Sfikakis… - Rheumatology …, 2022 - Springer
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease
(CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek …
(CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek …