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 …

A review of thyroid gland segmentation and thyroid nodule segmentation methods for medical ultrasound images

J Chen, H You, K Li - Computer methods and programs in biomedicine, 2020 - Elsevier
Background and objective Thyroid image segmentation is an indispensable part in computer-
aided diagnosis systems and medical image diagnoses of thyroid diseases. There have …

Convolutional neural networks for medical image analysis: Full training or fine tuning?

N Tajbakhsh, JY Shin, SR Gurudu… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Training a deep convolutional neural network (CNN) from scratch is difficult because it
requires a large amount of labeled training data and a great deal of expertise to ensure …

Ultrasound image segmentation: a deeply supervised network with attention to boundaries

D Mishra, S Chaudhury, M Sarkar… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …

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 …

Deep learning‐based carotid media‐adventitia and lumen‐intima boundary segmentation from three‐dimensional ultrasound images

R Zhou, A Fenster, Y **a, JD Spence, M Ding - Medical physics, 2019 - Wiley Online Library
Purpose Quantification of carotid plaques has been shown to be important for assessing as
well as monitoring the progression and regression of carotid atherosclerosis. Various …

Deep learning strategy for accurate carotid intima-media thickness measurement: an ultrasound study on Japanese diabetic cohort

M Biswas, V Kuppili, T Araki, DR Edla, EC Godia… - Computers in biology …, 2018 - Elsevier
Motivation The carotid intima-media thickness (cIMT) is an important biomarker for
cardiovascular diseases and stroke monitoring. This study presents an intelligence-based …

Superiority of multiple-joint space width over minimum-joint space width approach in the machine learning for radiographic severity and knee osteoarthritis …

JCW Cheung, AYC Tam, LC Chan, PK Chan, C Wen - Biology, 2021 - mdpi.com
Simple Summary Minimum-joint space width (JSW) is a prevalent clinical parameter in
quantifying the joint space narrowing condition in knee osteoarthritis (KOA). In this study, we …

Automating carotid intima-media thickness video interpretation with convolutional neural networks

J Shin, N Tajbakhsh, RT Hurst… - Proceedings of the …, 2016 - openaccess.thecvf.com
Cardiovascular disease (CVD) is the leading cause of mortality yet largely preventable, but
the key to prevention is to identify at risk individuals before adverse events. For predicting …

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 …