[HTML][HTML] Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional …
We propose a fully automated algorithm based on a deep learning framework enabling
screening of a coronary computed tomography angiography (CCTA) examination for …
screening of a coronary computed tomography angiography (CCTA) examination for …
Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography
In patients with obstructive coronary artery disease, the functional significance of a coronary
artery stenosis needs to be determined to guide treatment. This is typically established …
artery stenosis needs to be determined to guide treatment. This is typically established …
Automatic coronary artery segmentation and diagnosis of stenosis by deep learning based on computed tomographic coronary angiography
Y Li, Y Wu, J He, W Jiang, J Wang, Y Peng, Y Jia… - European …, 2022 - Springer
Objectives Coronary computed tomography angiography (CCTA) has rapidly developed in
the coronary artery disease (CAD) field. However, manual coronary artery tree segmentation …
the coronary artery disease (CAD) field. However, manual coronary artery tree segmentation …
[HTML][HTML] Evaluation of a deep learning model on coronary CT angiography for automatic stenosis detection
JF Paul, A Rohnean, H Giroussens… - Diagnostic and …, 2022 - Elsevier
Purpose The purpose of this study was to evaluate a deep-learning model (DLM) for
classifying coronary arteries on coronary computed tomography-angiography (CCTA) using …
classifying coronary arteries on coronary computed tomography-angiography (CCTA) using …
A recurrent CNN for automatic detection and classification of coronary artery plaque and stenosis in coronary CT angiography
M Zreik, RW Van Hamersvelt… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Various types of atherosclerotic plaque and varying grades of stenosis could lead to different
management of patients with a coronary artery disease. Therefore, it is crucial to detect and …
management of patients with a coronary artery disease. Therefore, it is crucial to detect and …
Automated characterization of stenosis in invasive coronary angiography images with convolutional neural networks
B Au, U Shaham, S Dhruva, G Bouras, E Cristea… - arXiv preprint arXiv …, 2018 - arxiv.org
The determination of a coronary stenosis and its severity in current clinical workflow is
typically accomplished manually via physician visual assessment (PVA) during invasive …
typically accomplished manually via physician visual assessment (PVA) during invasive …
A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning
Early detection and diagnosis of coronary artery disease could reduce the risk of developing
a heart attack. The coronary arteries are optimally visualised using computed tomography …
a heart attack. The coronary arteries are optimally visualised using computed tomography …
Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography
Visual identification of coronary arterial lesion from three-dimensional coronary computed
tomography angiography (CTA) remains challenging. We aimed to develop a robust …
tomography angiography (CTA) remains challenging. We aimed to develop a robust …
[HTML][HTML] Developing a Deep-Learning-Based coronary artery disease detection technique using computer tomography images
AR Wahab Sait, AK Dutta - Diagnostics, 2023 - mdpi.com
Coronary artery disease (CAD) is one of the major causes of fatalities across the globe. The
recent developments in convolutional neural networks (CNN) allow researchers to detect …
recent developments in convolutional neural networks (CNN) allow researchers to detect …
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality
CY Liu, CX Tang, XL Zhang, S Chen, Y Xie… - European Journal of …, 2021 - Elsevier
Objectives To investigate the effect of reader experience, calcification and image quality on
the performance of deep learning (DL) powered coronary CT angiography (CCTA) in …
the performance of deep learning (DL) powered coronary CT angiography (CCTA) in …