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  4. CAD4GERD - computer-assisted diagnostic for gastroesophageal reflux disease. First results
 
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2013
Conference Paper
Title

CAD4GERD - computer-assisted diagnostic for gastroesophageal reflux disease. First results

Title Supplement
Abstract
Abstract
One of the most common and in the frequency increasing diseases in the western world is the gastroesophageal reflux disease (GERD). Intestinal metaplasia, also known as ""Barrett's Esophagus"" is a precancerous condition and complication of GERD. Unfortunately, for the histopathology of Barrett's Esophagus, a large inter-observer variation can be observed. Hence, a quantitative image-driven approach of computer assisted diagnosis (CAD) to support pathologists with an automated pre-analysis of the images is considered. Goal of this contribution is the evaluation of possibilities to differentiate histopathology automatically three types of tissue, namely normal squamous epithelium of the esophagus (EP), normal cardia mucosa (CA) and Barrett's Esophagus (BE).
Author(s)
Dach, Claudia
Friedl, Sven
Vieth, Michael
Klinikum Bayreuth
Benz, Michaela  
Münzenmayer, Christian  
Hartmann, Arndt
Universität Erlangen-Nürnberg
Geppert, Carol
Universität Erlangen-Nürnberg
Wittenberg, Thomas  
Mainwork
Im Focus das Leben. Interdisziplinäre Forschung für die Patientenversorgung der Zukunft  
Conference
Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (GMDS Jahrestagung) 2013  
DOI
10.3205/13gmds263
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • Texturmerkmal

  • Mikroskopie

  • Merkmal

  • Medizintechnik

  • medizinische BV

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