|Title||Collaborative analysis of multi-gigapixel imaging data using Cytomine.|
|Publication Type||Journal Article|
|Year of Publication||2016|
|Authors||Marée, R, Rollus, L, Stévens, B, Hoyoux, R, Louppe, G, Vandaele, R, Begon, J-M, Kainz, P, Geurts, P, Wehenkel, L|
|Date Published||2016 05 01|
|Keywords||Image Interpretation, Computer-Assisted, Internet, Software, Statistics as Topic|
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: email@example.comSUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
|PubMed Central ID||PMC4848407|
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