[A fast approach for level set segmentation].
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.
Lin
Ya-zhong
YZ
Department of Medical Information, 175 Hospital of PLA, Zhangzhou 363000, China. yzlincqh@tom.com
Cheng
Yue-bin
YB
Chen
Wu-fang
WF
D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results