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EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning
[article]
2020
bioRxiv
pre-print
Epithelia are dynamic tissues that self-remodel during their development. At morphogenesis, the tissue-scale organization of epithelia is obtained through a sum of individual contributions of the cells constituting the tissue. Therefore, understanding any morphogenetic event first requires a thorough segmentation of its constituent cells. This task, however, usually implies extensive manual correction, even with semi-automated tools. Here we present EPySeg, an open source, coding-free software
doi:10.1101/2020.06.30.179507
fatcat:xhhmptg7vrbqpbidun2yfldk6q