Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
A state-of-the-art review on segmentation algorithms in intravascular ultrasound (IVUS) images
Over the past two decades, intravascular ultrasound (IVUS) image segmentation has
remained a challenge for researchers while the use of this imaging modality is rapidly …
remained a challenge for researchers while the use of this imaging modality is rapidly …
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 …
Standardized evaluation methodology and reference database for evaluating IVUS image segmentation
S Balocco, C Gatta, F Ciompi, A Wahle… - … medical imaging and …, 2014 - Elsevier
This paper describes an evaluation framework that allows a standardized and quantitative
comparison of IVUS lumen and media segmentation algorithms. This framework has been …
comparison of IVUS lumen and media segmentation algorithms. This framework has been …
Automatic detection of atherosclerotic plaque and calcification from intravascular ultrasound images by using deep convolutional neural networks
YC Li, TY Shen, CC Chen, WT Chang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Atherosclerosis is the major cause of cardiovascular diseases (CVDs). Intravascular
ultrasound (IVUS) is a common imaging modality for diagnosing CVDs. However, an …
ultrasound (IVUS) is a common imaging modality for diagnosing CVDs. However, an …
Probability density difference-based active contour for ultrasound image segmentation
B Liu, HD Cheng, J Huang, J Tian, X Tang, J Liu - Pattern Recognition, 2010 - Elsevier
Because of its low signal/noise ratio, low contrast and blurry boundaries, ultrasound (US)
image segmentation is a difficult task. In this paper, a novel level set-based active contour …
image segmentation is a difficult task. In this paper, a novel level set-based active contour …
Segmentation in Ultrasonic B-Mode Images of Healthy Carotid Arteries Using Mixtures of Nakagami Distributions and Stochastic Optimization
F Destrempes, J Meunier, MF Giroux… - … on Medical Imaging, 2008 - ieeexplore.ieee.org
The goal of this work is to perform a segmentation of the intimamedia thickness (IMT) of
carotid arteries in view of computing various dynamical properties of that tissue, such as the …
carotid arteries in view of computing various dynamical properties of that tissue, such as the …
A hybrid edge-based segmentation approach for ultrasound medical images
Ultrasound imaging is one of the most widely used and the cheapest diagnostic tools of
medical imaging modalities. In this paper, a hybrid approach for accurate segmentation of …
medical imaging modalities. In this paper, a hybrid approach for accurate segmentation of …
Graph-based IVUS segmentation with efficient computer-aided refinement
A new graph-based approach for segmentation of luminal and external elastic lamina (EEL)
surface of coronary vessels in gated 20 MHz intravascular ultrasound (IVUS) image …
surface of coronary vessels in gated 20 MHz intravascular ultrasound (IVUS) image …
An artificial neural network method for lumen and media-adventitia border detection in IVUS
Intravascular ultrasound (IVUS) has been well recognized as one powerful imaging
technique to evaluate the stenosis inside the coronary arteries. The detection of lumen …
technique to evaluate the stenosis inside the coronary arteries. The detection of lumen …