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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2012) 7512 LNCS 574-581
DOI: 10.1007/978-3-642-33454-2_71
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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.

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Hämmerle-Uhl, J., Höller, Y., Uhl, A., & Vécsei, A. (2012). Endoscope distortion correction does not (easily) improve mucosa-based classification of celiac disease. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7512 LNCS, pp. 574–581). Springer Verlag. https://doi.org/10.1007/978-3-642-33454-2_71

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