[HTML][HTML] 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
PK Jain, KV Tadepalli, S Roy, N Sharma - Multimedia Tools and …, 2024 - Springer
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 …
[HTML][HTML] 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 …
CSM-Net: Automatic joint segmentation of intima-media complex and lumen in carotid artery ultrasound images
The intima-media thickness (IMT) is an effective biomarker for atherosclerosis, which is
commonly measured by ultrasound technique. However, the intima-media complex (IMC) …
commonly measured by ultrasound technique. However, the intima-media complex (IMC) …
[HTML][HTML] Ultrasound-based image analysis for predicting carotid artery stenosis risk: A comprehensive review of the problem, techniques, datasets, and future …
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 …
Segmenting the carotid-artery wall in ultrasound image sequences with a dual-resolution U-net
N Lainé, G Zahnd, H Liebgott… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Thickening of intima-media complex in the common carotid artery is a biomarker of
atherosclerosis. To automatically measure this thickness, we propose a region-based …
atherosclerosis. To automatically measure this thickness, we propose a region-based …
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study
The intima-media thickness (IMT) is an important parameter for evaluating cardiovascular
disease risk and progression and can be extracted from B-mode longitudinal ultrasound …
disease risk and progression and can be extracted from B-mode longitudinal ultrasound …
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm
Deep learning methods are the state-of-the-art for medical imaging segmentation tasks. Still,
numerous segmentation algorithms based on heuristic-based methods have been proposed …
numerous segmentation algorithms based on heuristic-based methods have been proposed …
Carotid artery wall segmentation in ultrasound image sequences using a deep convolutional neural network
Intima-media thickness (IMT) of the common carotid artery is routinely measured in
ultrasound images and its increase is a marker of pathology. Manual measurement being …
ultrasound images and its increase is a marker of pathology. Manual measurement being …
CAROTIDNet: A Novel Carotid Symptomatic/Asymptomatic Plaque Detection System Using CNN-Based Tangent Optimization Algorithm in B-Mode Ultrasound Images
Deep learning methods have shown promise for automated medical image analysis tasks.
However, class imbalance is a common challenge that can negatively impact model …
However, class imbalance is a common challenge that can negatively impact model …