Automatic ultrasound image segmentation based on local entropy and active contour model-Reference-Cited by-同舟云学术

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Automatic ultrasound image segmentation based on local entropy and active contour model

Published:2019-08 Issue:3 Volume:78 Page:929-943
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

Zong Jing-jing,Qiu Tian-shuang,Li Wei-dong,Guo Dong-mei

Funder

Natural Science Foundation of China

Scientific Research Project of Liaoning Provincial Department of Education

Liaoning Natural Science Foundation Mentoring Project

Publisher

Elsevier BV

Subject

Computational Mathematics,Computational Theory and Mathematics,Modeling and Simulation

Reference58 articles.

1. Ultrasound image segmentation: A survey;Noble;IEEE Trans. Med. Imaging,2006

2. A hybrid edge-based segmentation approach for ultrasound medical images;Gupta;Biomed. Signal Process. Control,2017

3. Active contour model driven by global and local intensity information for ultrasound image segmentation;Fang;Comput. Math. Appl.,2018

4. Optimum image thresholding via class uncertainty and region homogeneity;Saha;IEEE Trans. Pattern Anal. Mach. Intell.,2001

5. A hierarchical evolutionary algorithm for automatic medical image segmentation;Lai;Expert Syst. Appl.,2009

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