Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

A Novel Approach to Breast Ultrasound Image Segmentation Based on the Characteristics of Breast Tissue and Particle Swarm Optimization

Authors
Yanhui Guo1, H.D. Cheng, Jiawei Tian, Yingtao Zhang
1School of Computer Science and technology
Corresponding Author
Yanhui Guo
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.39How to use a DOI?
Keywords
Image segmentation, ultrasound image, partical swarm optimization, clustering.
Abstract

Breast cancer occurs to over 8% women during their lifetime, and is a leading cause of death among women. Sonography is superior to mammography in its ability to detect focal abnormalities in the dense breasts and has no side-effect. In this paper, we proposed a novel automatic segmentation algorithm based on the characteristics of breast tissue and the eliminating particle swarm optimization (EPSO) clustering analysis. The characteristics of mammary gland in breast ultrasound (BUS) images are analyzed and utilized, and a method based on step-down threshold technique is employed to locate the mammary gland area. The EPSO clustering algorithm employes the idea of “survival of the superior and weeding out the inferior”. The experimental results demonstrate that the proposed approach can segment BUS image with high accuracy and low computational time. The EPSO clustering method reduces the computational time by 32.75% compared with the standard PSO clustering algorithm. The proposed approach would find wide applications in automatic lesion classification and computer aided diagnosis (CAD) systems of breast cancer.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.39How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanhui Guo
AU  - H.D. Cheng
AU  - Jiawei Tian
AU  - Yingtao Zhang
PY  - 2008/12
DA  - 2008/12
TI  - A Novel Approach to Breast Ultrasound Image Segmentation Based on the Characteristics of Breast Tissue and Particle Swarm Optimization
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 227
EP  - 231
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.39
DO  - https://doi.org/10.2991/jcis.2008.39
ID  - Guo2008/12
ER  -