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 …

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 …

Attention-based UNet deep learning model for plaque segmentation in carotid ultrasound for stroke risk stratification: an artificial intelligence paradigm

PK Jain, A Dubey, L Saba, NN Khanna… - Journal of …, 2022 - mdpi.com
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 …

RETRACTED ARTICLE: Improved Deep Learning Network Based in combination with Cost-sensitive Learning for Early Detection of Ovarian Cancer in Color …

L Zhang, J Huang, L Liu - Journal of medical systems, 2019 - Springer
With the development of theories and technologies in medical imaging, most of the tumors
can be detected in the early stage. However, the nature of ovarian cysts lacks accurate …

Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for …

M Biswas, L Saba, S Chakrabartty, NN Khanna… - Computers in biology …, 2020 - Elsevier
Motivation The early screening of cardiovascular diseases (CVD) can lead to effective
treatment. Thus, accurate and reliable atherosclerotic carotid wall detection and plaque …

Plaque tissue morphology-based stroke risk stratification using carotid ultrasound: a polling-based PCA learning paradigm

L Saba, PK Jain, HS Suri, N Ikeda, T Araki… - … , Volume 2: Plaque …, 2019 - iopscience.iop.org
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 …

Stroke risk stratification and its validation using ultrasonic echolucent carotid wall plaque morphology: a machine learning paradigm

T Araki, PK Jain, HS Suri, ND Londhe, N Ikeda… - Computers in biology …, 2017 - Elsevier
Stroke risk stratification based on grayscale morphology of the ultrasound carotid wall has
recently been shown to have a promise in classification of high risk versus low risk plaque or …

Early-stage atherosclerosis detection using deep learning over carotid ultrasound images

RM Menchón-Lara, JL Sancho-Gómez… - Applied Soft …, 2016 - Elsevier
This paper proposes a computer-aided diagnosis tool for the early detection of
atherosclerosis. This pathology is responsible for major cardiovascular diseases, which are …

Fully automatic segmentation of ultrasound common carotid artery images based on machine learning

RM Menchón-Lara, JL Sancho-Gómez - Neurocomputing, 2015 - Elsevier
Atherosclerosis is responsible for a large proportion of cardiovascular diseases (CVD),
which are the leading cause of death in the world. The atherosclerotic process is a complex …

A review of ultrasound common carotid artery image and video segmentation techniques

CP Loizou - Medical & biological engineering & computing, 2014 - Springer
The determination of the wall thickness [intima–media thickness (IMT)], the delineation of the
atherosclerotic carotid plaque, the measurement of the diameter in the common carotid …