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

DOI

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.

Copyright

© 2013, 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  - 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  - Proceedings of 2013 International Conference on Information Science and Computer Applications
PB  - Atlantis Press
SP  - 148
EP  - 152
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.26
DO  - 10.2991/isca-13.2013.26
ID  - Wang2013/10
ER  -