Proceedings of 2013 International Conference on Information Science and Computer Applications

An Improved Image Segmentation Method Using Three-dimensional Region Growing Algorithm

Authors
Qiao Wang, Xiaolong Song, Zhengang Jiang
Corresponding Author
Qiao Wang
Available Online October 2013.
DOI
https://doi.org/10.2991/isca-13.2013.26How to use a DOI?
Keywords
medical image; three-dimensional image; segmentation; region grow; automatic detection
Abstract
As an important means of clinical diagnoses and treatment of liver diseases, CT scan of liver has been applied more widely. How to extract liver from CT image automatically and accurately is one of the hot topics in the field of medical image segmentation. Because of the diversity and complexity of medical image, traditional segmentation methods may cause errors. Therefore, this paper presents an improved image segmentation method based on three-dimensional region growing algorithm. The experimental results show that the proposed method is an effective way for improving the accuracy of liver segmentation.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
DOI
https://doi.org/10.2991/isca-13.2013.26How 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  - Qiao Wang
AU  - Xiaolong Song
AU  - Zhengang Jiang
PY  - 2013/10
DA  - 2013/10
TI  - An Improved Image Segmentation Method Using Three-dimensional Region Growing Algorithm
BT  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/isca-13.2013.26
DO  - https://doi.org/10.2991/isca-13.2013.26
ID  - Wang2013/10
ER  -