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

DOI

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).

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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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  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 332
EP  - 337
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.57
DO  - 10.2991/jcis.2008.57
ID  - Shan2008/12
ER  -