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Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease
Jutta Hämmerle-Uhl1, Yvonne Höller, Andreas Uhl
1Department of Computer Sciences, University of Salzburg, Austria.
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.
