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pubmed-article:10194881pubmed:abstractTextCytological smears obtained from the cervix are routinely examined under the microscope as part of screening programs for the early detection of cervical cancer. The aim of the present study was to investigate whether a simple feature extraction approach using only standard image processing techniques combined with a neural classifier would lead to acceptable results that might serve as a starting point for the development of a fully automated screening system.lld:pubmed
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pubmed-article:10194881pubmed:issn0013-5585lld:pubmed
pubmed-article:10194881pubmed:authorpubmed-author:NeumannHHlld:pubmed
pubmed-article:10194881pubmed:authorpubmed-author:SchuppJJlld:pubmed
pubmed-article:10194881pubmed:authorpubmed-author:MattfeldtTTlld:pubmed
pubmed-article:10194881pubmed:authorpubmed-author:KestlerH AHAlld:pubmed
pubmed-article:10194881pubmed:authorpubmed-author:SchwenkerFFlld:pubmed
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pubmed-article:10194881pubmed:volume44lld:pubmed
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pubmed-article:10194881pubmed:pagination17-24lld:pubmed
pubmed-article:10194881pubmed:dateRevised2006-11-15lld:pubmed
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pubmed-article:10194881pubmed:articleTitle[Classification of cytological smears of the cervix with neuronal methods].lld:pubmed
pubmed-article:10194881pubmed:affiliationAbt. Neuroinformatik, Universität Ulm. hans.kestler@medizin.uni-ulm.delld:pubmed
pubmed-article:10194881pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:10194881pubmed:publicationTypeEnglish Abstractlld:pubmed
pubmed-article:10194881pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed