Collaborative analysis of multi-gigapixel imaging data using Cytomine

Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., Begon, J.-M., Kainz, P., Geurts, P. and Wehenkel, L. (2016) Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 32 (9). pp. 1395-1401. ISSN 1460-2059 doi: 10.1093/bioinformatics/btw013

Abstract/Summary

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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/90721
Identification Number/DOI	10.1093/bioinformatics/btw013
Refereed	Yes
Divisions	No Reading authors. Back catalogue items Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Oxford University Press
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