Journal
BIOINFORMATICS
Volume 32, Issue 9, Pages 1395-1401Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw013
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Funding
- Wallonia (DGO6) [1017072, 1217606, 1318185]
- GIGA
- European Regional Development Fund
- F.N.R.S.
- F.N.R.S Televie grant
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Motivation: Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries. Results: We developed Cytomine to foster active and distributed collaboration of multidisciplinary teams for large-scale image-based studies. It uses web development methodologies and machine learning in order to readily organize, explore, share and analyze (semantically and quantitatively) multi-gigapixel imaging data over the internet. We illustrate how it has been used in several biomedical applications.
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