Application and prospects of AI-based radiomics in ultrasound diagnosis
Artificial intelligence (AI)-based radiomics has attracted considerable research attention in
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
the field of medical imaging, including ultrasound diagnosis. Ultrasound imaging has unique …
Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers
Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …
Attention-based UNet deep learning model for plaque segmentation in carotid ultrasound for stroke risk stratification: an artificial intelligence paradigm
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 …
early detection of such events may prevent the burden of death and costly surgery …
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable …
Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
Lumen segmentation using a Mask R-CNN in carotid arteries with stenotic atherosclerotic plaque
MJ Kiernan, R Al Mukaddim, CC Mitchell, J Maybock… - Ultrasonics, 2024 - Elsevier
In patients at high risk for ischemic stroke, clinical carotid ultrasound is often used to grade
stenosis, determine plaque burden and assess stroke risk. Analysis currently requires a …
stenosis, determine plaque burden and assess stroke risk. Analysis currently requires a …
Ultrasound-based image analysis for predicting carotid artery stenosis risk: A comprehensive review of the problem, techniques, datasets, and future directions
The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in
the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured …
the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured …
[HTML][HTML] Cardiovascular disease/stroke risk stratification in deep learning framework: a review
The global mortality rate is known to be the highest due to cardiovascular disease (CVD).
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
Thus, preventive, and early CVD risk identification in a non-invasive manner is vital as …
3D ultrasound reconstructions of the carotid artery and thyroid gland using artificial-intelligence-based automatic segmentation—qualitative and quantitative …
The aim of this study was to evaluate the feasibility of a noninvasive and low-operator-
dependent imaging method for carotid-artery-stenosis diagnosis. A previously developed …
dependent imaging method for carotid-artery-stenosis diagnosis. A previously developed …
Learning-based initialization for correntropy-based level sets to segment atherosclerotic plaque in ultrasound images
C Qian, E Su, X Ni - Ultrasonics, 2023 - Elsevier
Carotid artery atherosclerosis is a significant cause of stroke. Ultrasound imaging has been
widely used in the diagnosis of atherosclerosis. Therefore, segmenting the atherosclerotic …
widely used in the diagnosis of atherosclerosis. Therefore, segmenting the atherosclerotic …
CACSNet for automatic robust classification and segmentation of carotid artery calcification on panoramic radiographs using a cascaded deep learning network
Stroke is one of the major causes of death worldwide, and is closely associated with
atherosclerosis of the carotid artery. Panoramic radiographs (PRs) are routinely used in …
atherosclerosis of the carotid artery. Panoramic radiographs (PRs) are routinely used in …