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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 …
A survey on image segmentation using metaheuristic-based deformable models: state of the art and critical analysis
Deformable models are segmentation techniques that adapt a curve with the goal of
maximizing its overlap with the actual contour of an object of interest within an image. Such …
maximizing its overlap with the actual contour of an object of interest within an image. Such …
Ultrasound image segmentation: a deeply supervised network with attention to boundaries
Objective: Segmentation of anatomical structures in ultrasound images requires vast
radiological knowledge and experience. Moreover, the manual segmentation often results in …
radiological knowledge and experience. Moreover, the manual segmentation often results in …
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 …
Shape-driven segmentation of the arterial wall in intravascular ultrasound images
Segmentation of arterial wall boundaries from intravascular images is an important problem
for many applications in the study of plaque characteristics, mechanical properties of the …
for many applications in the study of plaque characteristics, mechanical properties of the …
A state-of-the-art review on coronary artery border segmentation algorithms for intravascular ultrasound (IVUS) images
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 …
A method for 3D reconstruction of coronary arteries using biplane angiography and intravascular ultrasound images
The aim of this study is to describe a new method for the three-dimensional reconstruction of
coronary arteries and its quantitative validation. Our approach is based on the fusion of the …
coronary arteries and its quantitative validation. Our approach is based on the fusion of the …
Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound images
This paper presents a computer-aided approach for nodule delineation in thyroid ultrasound
(US) images. The developed algorithm is based on a novel active contour model, named …
(US) images. The developed algorithm is based on a novel active contour model, named …