A fast approach for level set segmentation.
- Author:
Ya-zhong LIN
1
;
Yue-bin CHENG
;
Wu-fang CHEN
Author Information
1. Department of Medical Information, 175 Hospital of PLA, Zhangzhou 363000, China. yzlincqh@tom.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artificial Intelligence;
Humans;
Image Enhancement;
methods;
Image Interpretation, Computer-Assisted;
methods;
Pattern Recognition, Automated;
methods;
Reproducibility of Results
- From:
Journal of Southern Medical University
2006;26(6):764-766
- CountryChina
- Language:Chinese
-
Abstract:
To propose an optimal level set approach for fast medical image segmentation. By confining the computation quantity of the level sets function and using the image characteristics, we improved the efficiency of segmentation and decreased the parameter setting in some degree for DSA vascular segmentation.
