EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning.
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ABSTRACT:
SUBMITTER: Aigouy B
PROVIDER: S-EPMC7774881 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Publications
EPySeg: a coding-free solution for automated segmentation of epithelia using deep learning.
Aigouy Benoit B Cortes Claudio C Liu Shanda S Prud'Homme Benjamin B
Development (Cambridge, England) 20201223 24
Epithelia are dynamic tissues that self-remodel during their development. During 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 involves extensive manual correction, even with semi-automated tools. Here, we present EPySeg, an open-source, coding-free soft ...[more]
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