Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Ontology highlight
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.Availability and implementation
Cytomine (http://www.cytomine.be/) is freely available under an open-source license from http://github.com/cytomine/ A documentation wiki (http://doc.cytomine.be) and a demo server (http://demo.cytomine.be) are also available.Contact
info@cytomine.beSupplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Maree R
PROVIDER: S-EPMC4848407 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
Publications
Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Marée Raphaël R Rollus Loïc L Stévens Benjamin B Hoyoux Renaud R Louppe Gilles G Vandaele Rémy R Begon Jean-Michel JM Kainz Philipp P Geurts Pierre P Wehenkel Louis L
Bioinformatics (Oxford, England) 20160110 9
<h4>Motivation</h4>Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries.<h4>Results</h4>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 ...[more]
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