Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease.

Abstract

Distortion correction is applied to endoscopic duodenal imagery to improve automated classification of celiac disease affected mucosa patches. In a set of six edge- and shape-related feature extraction techniques, only a single one is able to consistently benefit from distortion correction, while for others, even a decrease of classification accuracy is observed. Different types of distortion correction do not lead to significantly different behaviour in the observed application scenario.

• Authors: Jutta Hämmerle-Uhl, Yvonne Höller, Andreas Uhl, Andreas Vécsei
• Journal: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Med Image Comput Comput Assist Interv) Vol. 15 Issue Pt 3 Pg. 574-81 ( 2012) Germany
• PMID: 23286177 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)

Topics

• Artifacts
• Celiac Disease (pathology)
• Endoscopy, Gastrointestinal (instrumentation, methods)
• Humans
• Image Enhancement (methods)
• Image Interpretation, Computer-Assisted (methods)
• Intestinal Mucosa (pathology)
• Reproducibility of Results
• Sensitivity and Specificity