title: [A fast approach for level set segmentation].
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.
authors.affiliation: Department of Medical Information, 175 Hospital of PLA, Zhangzhou 363000, China. yzlincqh@tom.com
authors.forename: Ya-zhong
authors.initials: YZ
authors.lastname: Lin
authors.forename: Yue-bin
authors.initials: YB
authors.lastname: Cheng
authors.forename: Wu-fang
authors.initials: WF
authors.lastname: Chen
mesh_terms: 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