Collaborative analysis of multi-gigapixel imaging data using Cytomine

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Abstract

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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Marée, R., Rollus, L., Stévens, B., Hoyoux, R., Louppe, G., Vandaele, R., … Wehenkel, L. (2016). Collaborative analysis of multi-gigapixel imaging data using Cytomine. Bioinformatics, 32(9), 1395–1401. https://doi.org/10.1093/bioinformatics/btw013

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