Collaborative analysis of multi-gigapixel imaging data using Cytomine.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 26755625.
- Also identified by DOI 10.1093/bioinformatics/btw013 and PMC identifier 4848407.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Collaborative analysis of massive imaging datasets is essential to enable scientific discoveries. 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. 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. info@cytomine.be Supplementary data are available at Bioinformatics online.
Medical subject headings
- Image Interpretation, Computer-Assisted
- Statistics as Topic