Neural Classifier Systems for Histopathologic Diagnosis

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URL:	https://ub-madoc.bib.uni-mannheim.de/812
URN:	urn:nbn:de:bsz:180-madoc-8121
Document Type:	Working paper
Year of publication:	1995
The title of a journal, publication series:	None
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Sonstige - Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik
MADOC publication series:	Veröffentlichungen der Fakultät für Mathematik und Informatik > Institut für Informatik > Technical Reports
Subject:	004 Computer science, internet
Subject headings (SWD):	Neuronales Netz , Histopathologie , Diagnose
Abstract:	Neural network and statistical classification methods were applied to derive an objective grading for moderately and poorly differentiated lesions, based on characteristics of the nuclear placement patterns. Using a multilayer network after abbreviated training as a feature extractor followed by a quadratic Bayesian classifier allowed grade assignment agreeing with visual diagnostic consensus in 96% of fields from the training set of 500 fields, and a 77% of 130 fields of a test set.
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Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

BASE: Stotzka, Rainer ; Männer, Reinhard ; Bartels, Peter H.

Google Scholar: Stotzka, Rainer ; Männer, Reinhard ; Bartels, Peter H.

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