A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application
Atherosclerotic plaque in carotid arteries can ultimately lead to cerebrovascular events if not
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …
[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment …
Visual or manual characterization and classification of atherosclerotic plaque lesions are
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …
3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular …
Ten fast transfer learning models for carotid ultrasound plaque tissue characterization in augmentation framework embedded with heatmaps for stroke risk stratification
Background and Purpose: Only 1–2% of the internal carotid artery asymptomatic plaques
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …
are unstable as a result of> 80% stenosis. Thus, unnecessary efforts can be saved if these …
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 …
[HTML][HTML] Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning
Objective The incidence of cardiovascular diseases (CVD) is rising rapidly worldwide. Some
forms of CVD, such as stroke and heart attack, are more common among patients with …
forms of CVD, such as stroke and heart attack, are more common among patients with …
Plaque tissue morphology-based stroke risk stratification using carotid ultrasound: a polling-based PCA learning paradigm
This chapter introduces a polling-based principal component analysis strategy embedded in
the machine-learning framework to select and retain dominant features, resulting in superior …
the machine-learning framework to select and retain dominant features, resulting in superior …
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 …
Plaque tissue characterization and classification in ultrasound carotid scans: a paradigm for vascular feature amalgamation
UR Acharya, MMR Krishnan, SV Sree… - IEEE Transactions …, 2012 - ieeexplore.ieee.org
The selection of carotid atherosclerosis patients for surgery or stenting is a crucial task in
atherosclerosis disease management. In order to select only those symptomatic cases who …
atherosclerosis disease management. In order to select only those symptomatic cases who …
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