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.
|Title of host publication||Medical Image Computing and Computer-Assisted Intervention, MICCAI2012 - 15th International Conference, Proceedings|
|Editors||Nicholas Ayache, Herve Delingette, Polina Golland, Kensaku Mori|
|Number of pages||8|
|Publication status||Published - 2012|
|Event||15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012 - Nice, France|
Duration: 1 Oct 2012 → 5 Oct 2012
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||15th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012|
|Period||1/10/12 → 5/10/12|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2012.
- Automated classification
- Celiac disease
- Endoscope distortion correction
- Shape- and edge-based features