Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Bioinformatics
; 32(9): 1395-401, 2016 05 01.
Article
em En
| MEDLINE
| ID: mdl-26755625
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.be SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Interpretação de Imagem Assistida por Computador
/
Estatística como Assunto
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article