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

Jutta Hämmerle-Uhl; Yvonne Höller; Andreas Uhl; Andreas Vécsei

doi:10.1007/978-3-642-33454-2_71

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

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):574-81. doi: 10.1007/978-3-642-33454-2_71.

Authors

Jutta Hämmerle-Uhl¹, Yvonne Höller, Andreas Uhl, Andreas Vécsei

Affiliation

¹ Department of Computer Sciences, University of Salzburg, Austria.

PMID: 23286177
DOI: 10.1007/978-3-642-33454-2_71

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

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