[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application

L Saba, SS Sanagala, SK Gupta… - Annals of …, 2021 - ncbi.nlm.nih.gov
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 …

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 …

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated …

SS Skandha, SK Gupta, L Saba, VK Koppula… - Computers in Biology …, 2020 - Elsevier
Abstract Background and Purpose Atherosclerotic plaque tissue rupture is one of the
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

SS Sanagala, A Nicolaides, SK Gupta, VK Koppula… - Diagnostics, 2021 - mdpi.com
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 …

A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application

L Saba, SS Sanagala, SK Gupta… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
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) …

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 …

Seabed sediment classification using multibeam backscatter data based on the selecting optimal random forest model

X Ji, B Yang, Q Tang - Applied Acoustics, 2020 - Elsevier
Seabed sediment classification using acoustic remote sensing technique is an attractive
approach due to its high coverage capabilities and limited costs compared to taking samples …

Quantitative histogram analysis on intracranial atherosclerotic plaques: a high-resolution magnetic resonance imaging study

Z Shi, J Li, M Zhao, W Peng, Z Meddings, T Jiang, Q Liu… - Stroke, 2020 - Am Heart Assoc
Background and Purpose: Intracranial atherosclerosis is one of the main causes of stroke,
and high-resolution magnetic resonance imaging provides useful imaging biomarkers …

Atherosclerotic plaque tissue characterization in 2D ultrasound longitudinal carotid scans for automated classification: a paradigm for stroke risk assessment

UR Acharya, MRK Mookiah, S Vinitha Sree… - Medical & biological …, 2013 - Springer
In the case of carotid atherosclerosis, to avoid unnecessary surgeries in asymptomatic
patients, it is necessary to develop a technique to effectively differentiate symptomatic and …

Symptomatic vs. asymptomatic plaque classification in carotid ultrasound

RU Acharya, O Faust, APC Alvin, SV Sree… - Journal of medical …, 2012 - Springer
Quantitative characterization of carotid atherosclerosis and classification into symptomatic or
asymptomatic type is crucial in both diagnosis and treatment planning. This paper describes …