title: [Self-organization neural network based ultrasonic heart image segmentation].
abstract: Segmentation is one of the most difficult problems in multidimensional reconstruction of ultrasonic heart image. In the present paper, a segmentation method of ultrasonic heart image using the self-organization neural network has been studied. This is an unsupervised segmentation method, which can segment images through clustering automatically. The results show that the present method has significant benefits over the traditional K-means algorithm.
authors.affiliation: High Technology Research Institute, Sichuan Union University, Chengdu 610065.
authors.forename: T
authors.initials: T
authors.lastname: Wang
authors.forename: C
authors.initials: C
authors.lastname: Zheng
authors.forename: D
authors.initials: D
authors.lastname: Li
authors.forename: J
authors.initials: J
authors.lastname: Ran
authors.forename: Y
authors.initials: Y
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D004452:Echocardiography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D016571:Neural Networks, Computer