Avtor/Urednik		Lenič, Mitja; Zazula, Damjan; Cigale, Boris
Naslov		Obtaining completely stable cellular neural network templates for ultrasound image segmentation
Tip		članek
Vir		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,
Leto izdaje		2007
Obseg		str. 1013-6
Jezik		eng
Abstrakt		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.