Author/Editor		Lenič, Mitja; Zazula, Damjan; Cigale, Boris
Title		Obtaining completely stable cellular neural network templates for ultrasound image segmentation
Type		članek
Source		In: Jarm T, Kramar P, Zupanič A, editors. Medicon 2007. IFMBE proceedings from the 11th Mediterranean conference on medical and biological enginering and computing; 2007 Jun 26-30; Ljubljana. New York: Springer,
Publication year		2007
Volume		str. 1013-6
Language		eng
Abstract		Cellular neural networks (CNNs) have been suc-cessfully applied to image segmentation problem. Nevertheless, the maju difficulty remains in the process of creating appro-priate templates to solve a segmentation problem. In this paper we present machine learning approach to obtain completely stable CNN templates and compare the obtained results to unconstrained machine learning approach. Despite introduced constraints of templates stability the results are comparable to unobstructed ones.