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Computer-assisted histology for the diagnosis of Barrett s Esophagus

A pilot study
: Dach, C.; Geppert, C.; Friedl, S.; Benz, M.; Münzenmayer, C.; Hartmann, A.; Vieth, M.; Wittenberg, T.

Deutsche Gesellschaft für Pathologie -DGP-, Berlin:
96. Jahrestagung der Deutschen Gesellschaft für Pathologie e.V. 2012 : Berlin, 31. Mai - 3. Juni 2012
Berlin: Springer, 2012 (Der Pathologe Vol.33. 2012, Supplement 1)
ISSN: 1432-1963
Deutsche Gesellschaft für Pathologie (Jahrestagung) <96, 2012, Berlin>
Conference Paper, Journal Article
Fraunhofer IIS ()

Gastroesophageal reflux disease (GERD) is one of the most com- mon and in the frequency increasing diseases in the western world. In- testinal metaplasia, or Barrett s Esophagus , is a precancerous conditi- on and complication of GERD. A large interobserver variation is known in histopathology of Barrett s Esophagus. Hence, it makes sense to sup- port pathologists with an automated pre-analysis of the images. Goal of this study is the evaluation of possibilities to differentiate three types of tissue automatically, namely Barrett s Esophagus (BE), normal cardiac mucosa (CA) and normal squamous epithelium of the esophagus (EP).