Characterising epithelial tissues using persistent entropy
Image and Video Processing
2021-05-19 v1 Computer Vision and Pattern Recognition
Quantitative Methods
Abstract
In this paper, we apply persistent entropy, a novel topological statistic, for characterization of images of epithelial tissues. We have found out that persistent entropy is able to summarize topological and geometric information encoded by \alpha-complexes and persistent homology. After using some statistical tests, we can guarantee the existence of significant differences in the studied tissues.
Cite
@article{arxiv.1810.05835,
title = {Characterising epithelial tissues using persistent entropy},
author = {N. Atienza and L. M. Escudero and M. J. Jimenez and M. Soriano-Trigueros},
journal= {arXiv preprint arXiv:1810.05835},
year = {2021}
}
Comments
12 pages, 7 figures, 4 tables