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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 …
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 …
aided diagnosis systems and medical image diagnoses of thyroid diseases. There have …
Convolutional neural networks for medical image analysis: Full training or fine tuning?
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 …
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
Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …
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 …
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
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 …
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
Motivation The carotid intima-media thickness (cIMT) is an important biomarker for
cardiovascular diseases and stroke monitoring. This study presents an intelligence-based …
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 …
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 …
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
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 …
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
This paper proposes a computer-aided diagnosis tool for the early detection of
atherosclerosis. This pathology is responsible for major cardiovascular diseases, which are …
atherosclerosis. This pathology is responsible for major cardiovascular diseases, which are …