Skip Nav Destination
Close Modal
Update search
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Article Type
TOC Section
Date
Availability
1-2 of 2
Keywords: Software
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Daniel Haertter, Xiaolei Wang, Stephanie M. Fogerson, Nitya Ramkumar, Janice M. Crawford, Kenneth D. Poss, Stefano Di Talia, Daniel P. Kiehart, Christoph F. Schmidt
Journal:
Development
Development (2022) 149 (21): dev200621.
Published: 11 November 2022
...-to-noise ratio and strongly fluorescent artifacts. 2D projection 3D image analysis Deep learning Software Tissue morphogenesis Studienstiftung des Deutschen Volkes http://dx.doi.org/10.13039/501100004350 National Institutes of Health http://dx.doi.org/10.13039/100000002...
Includes: Supplementary data
Journal Articles
Journal:
Development
Development (2020) 147 (24): dev194589.
Published: 23 December 2020
... 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 software that uses deep learning...
Includes: Supplementary data
