11th Joint International Conference on Information Sciences

A completely automatic segmentation method for breast ultrasound images using region growing

Authors
Juan Shan 0, H.D. Cheng, Yuxuan Wang
Corresponding Author
Juan Shan
0Utah State University
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.57How to use a DOI?
Keywords
Seed point selection, region growing, segmentation,
Abstract
In this paper, we propose a fully automatic segmentation algorithm of masses on breast ultrasound images by using region growing technique. First, a seed point is selected automatically from the mass region based on both textural features and spatial features. Then, from the selected seed point, a region growing algorithm based on neutrosophic logic is implemented. The whole algorithm needs no manual intervention at all and is completely automatic. Experiment results show that the proposed segmentation algorithm is efficient in both selecting seed point and segmenting region of interests (ROIs).
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Proceedings
11th Joint International Conference on Information Sciences
Part of 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.2008.57How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Juan Shan
AU  - H.D. Cheng
AU  - Yuxuan Wang
PY  - 2008/12
DA  - 2008/12
TI  - A completely automatic segmentation method for breast ultrasound images using region growing
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SP  - 332
EP  - 337
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.57
DO  - https://doi.org/10.2991/jcis.2008.57
ID  - Shan2008/12
ER  -