4.7 Article

Collaborative analysis of multi-gigapixel imaging data using Cytomine

Journal

BIOINFORMATICS
Volume 32, Issue 9, Pages 1395-1401

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw013

Keywords

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Funding

  1. Wallonia (DGO6) [1017072, 1217606, 1318185]
  2. GIGA
  3. European Regional Development Fund
  4. F.N.R.S.
  5. 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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