Cytological Diagnosis Based on Fuzzy Neural Networks

Blekas, K; Stafylopatis, A; Kontoravdis, D; Karakitsos, A

dc.contributor.author	Blekas, K	en
dc.contributor.author	Stafylopatis, A	en
dc.contributor.author	Kontoravdis, D	en
dc.contributor.author	Karakitsos, A	en
dc.date.accessioned	2014-03-01T01:46:42Z
dc.date.available	2014-03-01T01:46:42Z
dc.date.issued	1998	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25001
dc.subject	Fuzzy Neural Network	en
dc.subject	Pattern Recognition	en
dc.title	Cytological Diagnosis Based on Fuzzy Neural Networks	en
heal.type	journalArticle	en
heal.publicationDate	1998	en
heal.abstract	A diagnostic system is presented that employs morphometry combinedwith a fuzzy neural network approach, for the discrimination of benign frommalignant gastric lesions. The input to the system consists of images ofroutine processed gastric smears stained by Papanicolaou technique. Theanalysis of the images provided a data set of cell features. The fuzzy minmaxneural network classifier, an efficient pattern recognition approach,was used	en
heal.journalName	International Journal of Intelligent Systems	en