An automatic detection system of lung nodule based on multigroup patch-based deep learning network
High-efficiency lung nodule detection dramatically contributes to the risk assessment of lung
cancer. It is a significant and challenging task to quickly locate the exact positions of lung …
cancer. It is a significant and challenging task to quickly locate the exact positions of lung …
Fast and efficient retinal blood vessel segmentation method based on deep learning network
The segmentation of the retinal vascular tree presents a major step for detecting ocular
pathologies. The clinical context expects higher segmentation performance with a reduced …
pathologies. The clinical context expects higher segmentation performance with a reduced …
[HTML][HTML] The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
[HTML][HTML] Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Background Automated segmentation of coronary arteries is a crucial step for computer-
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
Automatic coronary artery segmentation of CCTA images with an efficient feature-fusion-and-rectification 3D-UNet
Automatic coronary artery segmentation is of great value in diagnosing coronary disease. In
this paper, we propose an automatic coronary artery segmentation method for coronary …
this paper, we propose an automatic coronary artery segmentation method for coronary …
Automatic detection of coronary artery stenosis by convolutional neural network with temporal constraint
Coronary artery disease (CAD) is a major threat to human health. In clinical practice, X-ray
coronary angiography remains the gold standard for CAD diagnosis, where the detection of …
coronary angiography remains the gold standard for CAD diagnosis, where the detection of …
[HTML][HTML] Automatic coronary artery segmentation of CCTA images using UNet with a local contextual transformer
Q Wang, L Xu, L Wang, X Yang, Y Sun, B Yang… - Frontiers in …, 2023 - frontiersin.org
Coronary artery segmentation is an essential procedure in the computer-aided diagnosis of
coronary artery disease. It aims to identify and segment the regions of interest in the …
coronary artery disease. It aims to identify and segment the regions of interest in the …
Sequential vessel segmentation via deep channel attention network
Accurately segmenting contrast-filled vessels from X-ray coronary angiography (XCA) image
sequence is an essential step for the diagnosis and therapy of coronary artery disease …
sequence is an essential step for the diagnosis and therapy of coronary artery disease …
Main coronary vessel segmentation using deep learning in smart medical
Z Xian, X Wang, S Yan, D Yang… - Mathematical …, 2020 - Wiley Online Library
The automatic segmentation of main vessels on X‐ray angiography (XRA) images is of great
importance in the smart coronary artery disease diagnosis system. However, existing …
importance in the smart coronary artery disease diagnosis system. However, existing …
Robust pca unrolling network for super-resolution vessel extraction in x-ray coronary angiography
Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary
angiography (XCA) images, challenging problems such as inefficient vessel-sparsity …
angiography (XCA) images, challenging problems such as inefficient vessel-sparsity …