Quantifying carotid stenosis: history, current applications, limitations, and potential: how imaging is changing the scenario
Carotid artery stenosis is a major cause of morbidity and mortality. The journey to
understanding carotid disease has developed over time and radiology has a pivotal role in …
understanding carotid disease has developed over time and radiology has a pivotal role in …
Application of artificial intelligence methods in carotid artery segmentation: a review
The carotid artery is one of the most important blood vessels that supply blood to the brain. If
thrombus occurs, it may cause cerebral ischemic stroke and endanger life. Carotid intima …
thrombus occurs, it may cause cerebral ischemic stroke and endanger life. Carotid intima …
An artificial intelligence-aided robotic platform for ultrasound-guided transcarotid revascularization
Transcarotid Artery Revascularization (TCAR) is typically performed by manual catheter
insertion and implies radiation exposure for both the patient and the surgeon. Taking …
insertion and implies radiation exposure for both the patient and the surgeon. Taking …
Performance analysis of machine learning and deep learning architectures on early stroke detection using carotid artery ultrasound images
Atherosclerotic plaque deposit in the carotid artery is used as an early estimate to identify
the presence of cardiovascular diseases. Ultrasound images of the carotid artery are used to …
the presence of cardiovascular diseases. Ultrasound images of the carotid artery are used to …
A new cell group clustering algorithm based on validation & correction mechanism
B Liang, J Cai, H Yang - Expert Systems with Applications, 2022 - Elsevier
Clustering used to discover hidden patterns in unlabeled data sets is an important task in
data mining. Therefore, clustering validation applied to evaluating the clustering results has …
data mining. Therefore, clustering validation applied to evaluating the clustering results has …
Machine learning and biomedical sub-terahertz/terahertz technology
Various biomedical applications have been demonstrated using sub-THz/THz spectroscopy
and imaging in previous chapters. In order to perform tasks such as signal processing and …
and imaging in previous chapters. In order to perform tasks such as signal processing and …
Emerging Feature Extraction Techniques for Machine Learning‐Based Classification of Carotid Artery Ultrasound Images
Plaque deposits in the carotid artery are the major cause of stroke and atherosclerosis.
Ultrasound imaging is used as an early indicator of disease progression. Classification of …
Ultrasound imaging is used as an early indicator of disease progression. Classification of …
Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality.
Given the multifaceted impact of this disease, there has been increasing interest in …
Given the multifaceted impact of this disease, there has been increasing interest in …
A review on preprocessing and segmentation techniques in carotid artery ultrasound images
KV Archana, R Vanithamani - Evolutionary Computing and Mobile …, 2022 - Springer
Epidemiological studies reveal that anatomical changes of carotid artery due to deposition of
fatty lesions are effective signs of cardiovascular diseases. Ultrasound imaging modality …
fatty lesions are effective signs of cardiovascular diseases. Ultrasound imaging modality …
面向图像分割的卷积密度聚类算法
张淼， 陈爱军， 卢男凯， 沈小燕 - 计算机辅助设计与图形学学报, 2022 - jcad.cn
为了提升密度聚类算法在高分辨图像分割中的可用性, 针对数字图像特点,
提出一种基于三维卷积的高效密度聚类算法, 并在此基础上实现一种彩色图像分割方法. 首先 …
提出一种基于三维卷积的高效密度聚类算法, 并在此基础上实现一种彩色图像分割方法. 首先 …