Neural Classifier Systems for Histopathologic Diagnosis


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


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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
Publication language: English
Institution: School of Business Informatics and Mathematics > Sonstige - Fakultät für Mathematik und Informatik
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.




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Stotzka, Rainer ; Männer, Reinhard ; Bartels, Peter H. (1995) Neural Classifier Systems for Histopathologic Diagnosis. Open Access [Working paper]
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