Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art Review

G Quer, R Arnaout, M Henne, R Arnaout - Journal of the American College …, 2021 - jacc.org
The role of physicians has always been to synthesize the data available to them to identify
diagnostic patterns that guide treatment and follow response. Today, increasingly …

Rheumatoid arthritis: atherosclerosis imaging and cardiovascular risk assessment using machine and deep learning–based tissue characterization

NN Khanna, AD Jamthikar, D Gupta, M Piga… - Current atherosclerosis …, 2019 - Springer
Abstract Purpose of the Review Rheumatoid arthritis (RA) is a chronic, autoimmune disease
which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue …

A convolutional neural network for automatic characterization of plaque composition in carotid ultrasound

K Lekadir, A Galimzianova, A Betriu… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Characterization of carotid plaque composition, more specifically the amount of lipid core,
fibrous tissue, and calcified tissue, is an important task for the identification of plaques that …

Accurate detection of non-proliferative diabetic retinopathy in optical coherence tomography images using convolutional neural networks

M Ghazal, SS Ali, AH Mahmoud, AM Shalaby… - IEEE …, 2020 - ieeexplore.ieee.org
Diabetic retinopathy (DR) is a disease that forms as a complication of diabetes. It is
particularly dangerous since it often goes unnoticed and can lead to blindness if not …

Role of deep learning in classification of brain MRI images for prediction of disorders: a survey of emerging trends

PR Verma, AK Bhandari - Archives of Computational Methods in …, 2023 - Springer
Image classification is the act of labeling groups of pixels or voxels of an image based on
some rules. It finds applications in medical image analysis, and satellite image identification …

Breast tumors recognition based on edge feature extraction using support vector machine

Y Liu, L Ren, X Cao, Y Tong - Biomedical Signal Processing and Control, 2020 - Elsevier
Nowadays, it is important for the detection of ultrasound images of breast tumors. In this
paper, a new ultrasonic image feature extraction algorithm combining edge-based features …

Muscle composition analysis of ultrasound images: a narrative review of texture analysis

MT Paris, M Mourtzakis - Ultrasound in Medicine & Biology, 2021 - Elsevier
Skeletal muscle composition, often characterized by the degree of intramuscular adipose
tissue, deteriorates with aging and disease and contributes to impairments in function and …

Carotid artery ultrasound image analysis: A review of the literature

S Latha, D Samiappan… - Proceedings of the …, 2020 - journals.sagepub.com
Stroke is one of the prominent causes of death in the recent days. The existence of
susceptible plaque in the carotid artery can be used in ascertaining the possibilities of …

Performance analysis of machine learning and deep learning architectures on early stroke detection using carotid artery ultrasound images

S Latha, P Muthu, KW Lai, A Khalil… - Frontiers in Aging …, 2022 - frontiersin.org
Atherosclerotic plaque deposit in the carotid artery is used as an early estimate to identify
the presence of cardiovascular diseases. Ultrasound images of the carotid artery are used to …

Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: a …

SK Banchhor, ND Londhe, T Araki, L Saba… - Computers in biology …, 2018 - Elsevier
Purpose of review Atherosclerosis is the leading cause of cardiovascular disease (CVD) and
stroke. Typically, atherosclerotic calcium is found during the mature stage of the …