Results 21 to 30 of about 42,917 (265)
Robust Evolution Method of Active Contour Models and Application in Segmentation of Image Sequence
Journal of Electrical and Computer Engineering, 2018 Active contour models are widely used in image segmentation. In order to obtain ideal object boundary, researchers utilize various information to define new models for image segmentation. However, the models could not meet all scenes of image.
Guoqi Liu, Haifeng Li
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IEEE Access, 2020 The local intensity fitting active contour models can handle inhomogeneous images, but they suffer from the shortcomings of poor performance in segmenting images with severe intensity inhomogeneity and being sensitive to initializations.
Xiaoying Shan +3 more
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Performance Evaluation of Contour Based Segmentation Methods for Ultrasound Images
Advances in Multimedia, 2018 Active contour methods are widely used for medical image segmentation. Using level set algorithms the applications of active contour methods have become flexible and convenient. This paper describes the evaluation of the performance of the active contour
R. J. Hemalatha +2 more
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Active Contour Models Based on Block Similarity for Multiple Objects Segmentation
Complexity, 2019 For the model of active contours with group similarity (ACGS), a rank constraint for a group of evolving contours is defined to keep the shape similarity.
Guoqi Liu, Jinjin Wei
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IEEE Access, 2021 Active contour models (ACMs) are the most widely used method for image segmentation. However, global fitting ACMs cannot effectively segment inhomogeneous images and local fitting ACMs suffer from noise and the initial position of the contour.
Hongli Lv, Fangjian Zhang, Renfang Wang
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
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Active Contour Model Coupling with Higher Order Diffusion for Medical Image Segmentation
International Journal of Biomedical Imaging, 2014 Active contour models are very popular in image segmentation. Different features such as mean gray and variance are selected for different purpose. But for image with intensity inhomogeneities, there are no features for segmentation using the active ...
Guodong Wang +3 more
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
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Active Contours Driven by Multi-Feature Gaussian Distribution Fitting Energy with Application to Vessel Segmentation. [PDF]
PLoS ONE, 2015 Active contour models are of great importance for image segmentation and can extract smooth and closed boundary contours of the desired objects with promising results. However, they cannot work well in the presence of intensity inhomogeneity.
Lei Wang +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
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