Intestinal event segmentation for endoluminal video analysis

In this paper, we tackle the problem of unsupervised segmentation of intestinal events using various motility descriptors extracted from the endoluminal video. The segments of constant intestinal activity are detected with a robust statistical test that is based on Hoeffding's inequality. The qualitative analysis of the results shows that the segments adjust well to the motility information and thus, this segmentation can constitute basic units for higher-level motility description.

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