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 …

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 …

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 …

Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media …

KM Meiburger, F Marzola, G Zahnd, F Faita… - Computers in biology …, 2022 - Elsevier
After publishing an in-depth study that analyzed the ability of computerized methods to assist
or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements …

Completely automated multiresolution edge snapper—a new technique for an accurate carotid ultrasound IMT measurement: clinical validation and benchmarking on …

F Molinari, CS Pattichis, G Zeng, L Saba… - … on image processing, 2011 - ieeexplore.ieee.org
The aim of this paper is to describe a novel and completely automated technique for carotid
artery (CA) recognition, far (distal) wall segmentation, and intima-media thickness (IMT) …

Classification of carotid artery intima media thickness ultrasound images with deep learning

S Savaş, N Topaloğlu, Ö Kazcı, PN Koşar - Journal of Medical Systems, 2019 - Springer
Cerebrovascular accident due to carotid artery disease is the most common cause of death
in developed countries following heart disease and cancer. For a reliable early detection of …

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 …

Segmentation of the common carotid intima-media complex in ultrasound images using active contours

S Petroudi, C Loizou, M Pantziaris… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
The segmentation of the intima-media complex (IMC) of the common carotid artery (CCA)
wall is important for the evaluation of the intima media thickness (IMT) on B-mode ultrasound …

Automatic detection of the intima-media thickness in ultrasound images of the common carotid artery using neural networks

RM Menchón-Lara, MC Bastida-Jumilla… - Medical & biological …, 2014 - Springer
Atherosclerosis is the leading underlying pathologic process that results in cardiovascular
diseases, which represents the main cause of death and disability in the world. The …