Deep learning in medical ultrasound image segmentation: a review
Z Wang - arXiv preprint arXiv:2002.07703, 2020 - arxiv.org
Applying machine learning technologies, especially deep learning, into medical image
segmentation is being widely studied because of its state-of-the-art performance and results …
segmentation is being widely studied because of its state-of-the-art performance and results …
A state-of-the-art review on coronary artery border segmentation algorithms for intravascular ultrasound (IVUS) images
P Arora, P Singh, A Girdhar, R Vijayvergiya - … Engineering and Technology, 2023 - Springer
Intravascular Ultrasound images (IVUS) is a useful guide for medical practitioners to identify
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …
the vascular status of coronary arteries in human beings. IVUS is a unique intracoronary …
Robust segmentation of arterial walls in intravascular ultrasound images using Dual Path U-Net
Abstract A Fully Convolutional Network (FCN) based deep architecture called Dual Path U-
Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in …
Net (DPU-Net) is proposed for automatic segmentation of the lumen and media-adventitia in …
Vessel contour detection in intracoronary images via bilateral cross-domain adaptation
Vessel contour detection (VCD) in intravascular images is important for the quantitative
assessment of vessels. However, it is still a challenging task due to a high degree of …
assessment of vessels. However, it is still a challenging task due to a high degree of …
DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation
G Chen, Y Liu, J Qian, J Zhang, X Yin, L Cui… - Expert Systems with …, 2023 - Elsevier
The automatic and accurate medical ultrasound image segmentation has been a
challenging task due to the coupled interference of various internal and external factors. In …
challenging task due to the coupled interference of various internal and external factors. In …
Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets
Segmentation of lumen and vessel contours in intravascular ultrasound (IVUS) pullbacks is
an arduous and time-consuming task, which demands adequately trained human resources …
an arduous and time-consuming task, which demands adequately trained human resources …
Convolutional networks for the segmentation of intravascular ultrasound images: Evaluation on a multicenter dataset
H Du, L Ling, W Yu, P Wu, Y Yang, M Chu… - Computer Methods and …, 2022 - Elsevier
Background and objective The delineation of the lumen contour and external elastic lamina
(EEL) in intravascular ultrasound (IVUS) images is crucial for the quantitative analysis of …
(EEL) in intravascular ultrasound (IVUS) images is crucial for the quantitative analysis of …
Deep learning-based intravascular ultrasound segmentation for the assessment of coronary artery disease
T Nishi, R Yamashita, S Imura, K Tateishi… - International journal of …, 2021 - Elsevier
Background Accurate segmentation of the coronary arteries with intravascular ultrasound
(IVUS) is important to optimize coronary stent implantation. Recently, deep learning (DL) …
(IVUS) is important to optimize coronary stent implantation. Recently, deep learning (DL) …
Automatic coronary artery segmentation algorithm based on deep learning and digital image processing
The automatic segmentation of coronary artery in coronary computed tomography
angiography (CCTA) image is of great significance for clinicians to evaluate patients with …
angiography (CCTA) image is of great significance for clinicians to evaluate patients with …
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images
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 …
capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image …