AIMC Topic: Plaque, Atherosclerotic
Clear Filters Showing 61 to 70 of 140 articles
Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study.
BMJ open
Aug 27, 2021
OBJECTIVES: The aim of this study was to evaluate the performance of deep learning-based detection and classification of carotid plaque (DL-DCCP) in carotid plaque contrast-enhanced ultrasound (CEUS).
Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS.
Radiography (London, England : 1995)
Aug 14, 2021
INTRODUCTION: Deep learning approaches have shown high diagnostic performance in image classifications, such as differentiation of malignant tumors and calcified coronary plaque. However, it is unknown whether deep learning is useful for characterizi...
Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.
Arteriosclerosis, thrombosis, and vascular biology
Aug 12, 2021
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Severity of Illness Index
Diagnosis, Computer-Assisted
Deep Learning
Animals
Male
Mice, Inbred C57BL
Predictive Value of Tests
Atherosclerosis
Mice
Staining and Labeling
Disease Models, Animal
Software
Female
Reproducibility of Results
Arteries
Vascular Remodeling
Mice, Knockout, ApoE
Plaque, Atherosclerotic
Microscopy
Image Interpretation, Computer-Assisted
Deep Learning-Based Measurement of Total Plaque Area in B-Mode Ultrasound Images.
IEEE journal of biomedical and health informatics
Aug 5, 2021
Measurement of total-plaque-area (TPA) is important for determining long term risk for stroke and monitoring carotid plaque progression. Since delineation of carotid plaques is required, a deep learning method can provide automatic plaque segmentatio...
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.
Computers in biology and medicine
Aug 2, 2021
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ 2.0 (AtheroPoint™, Roseville, CA) for the common carotid artery (CCA). Th...
Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images.
Ultrasound in medicine & biology
Jul 1, 2021
Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid plaque burden and monitoring changes in carotid atherosclerosis in response to medical treatment. Plaque boundary segmentation is required to generate...
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.
International journal of cardiology
Jun 18, 2021
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.
Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning.
Atherosclerosis
Jun 7, 2021
BACKGROUND AND AIMS: We developed a deep learning (DL) model for automated atherosclerotic plaque categorization using optical frequency domain imaging (OFDI) and performed quantitative and visual evaluations.
A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography images.
Medical physics
May 24, 2021
PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, which is recognized as accumulation of plaques in arterial wall tissues. Optical Coherence Tomography (OCT) is a light-based imaging system used in cardio...
Machine Learning with F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Apr 23, 2021
Coronary F-sodium fluoride (F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an...
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