Peripheral vascular disease assessment in the lower limb: a review of current and emerging non-invasive diagnostic methods
E Shabani Varaki, GD Gargiulo, S Penkala… - Biomedical engineering …, 2018 - Springer
Background Worldwide, at least 200 million people are affected by peripheral vascular
diseases (PVDs), including peripheral arterial disease (PAD), chronic venous insufficiency …
diseases (PVDs), including peripheral arterial disease (PAD), chronic venous insufficiency …
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 …
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging
Humans perceive physical properties such as motion and elastic force by observing objects
in visual scenes. Recent research has proven that computers are capable of inferring …
in visual scenes. Recent research has proven that computers are capable of inferring …
Privileged modality distillation for vessel border detection in intracoronary imaging
Intracoronary imaging is a crucial imaging technology in coronary disease diagnosis as it
visualizes the internal tissue morphologies of coronary arteries. Vessel border detection in …
visualizes the internal tissue morphologies of coronary arteries. Vessel border detection in …
Automatic inspection machine for maize kernels based on deep convolutional neural networks
Highlights•Design a dual-camera based synchronised maize inspection machine.•Applied
an improved background removal method.•Propose a K-means-guided curvature method to …
an improved background removal method.•Propose a K-means-guided curvature method to …
Boundary delineation of MRI images for lumbar spinal stenosis detection through semantic segmentation using deep neural networks
We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection
through semantic segmentation and delineation of magnetic resonance imaging (MRI) …
through semantic segmentation and delineation of magnetic resonance imaging (MRI) …
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 …
Glioma segmentation with a unified algorithm in multimodal MRI images
To achieve the better segmentation performance, we propose a unified algorithm for
automatic glioma segmentation. In this paper, we first use spatial fuzzy c-mean clustering to …
automatic glioma segmentation. In this paper, we first use spatial fuzzy c-mean clustering to …
Yanbao: a mobile app using the measurement of clinical parameters for glaucoma screening
F Guo, Y Mai, X Zhao, X Duan, Z Fan, B Zou… - IEEE Access, 2018 - ieeexplore.ieee.org
Glaucoma is the second leading cause of blindness worldwide, and vision loss from
glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile …
glaucoma cannot be reversed. To remedy this issue, in this paper, a user-friendly mobile …
Distraction-aware hierarchical learning for vascular structure segmentation in intravascular ultrasound images
Vascular structure segmentation in intravascular ultrasound (IVUS) images plays an
important role in pre-procedural evaluation of percutaneous coronary intervention (PCI) …
important role in pre-procedural evaluation of percutaneous coronary intervention (PCI) …