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Collaborative analysis of multi-gigapixel imaging data using Cytomine.
Marée, Raphaël; Rollus, Loïc; Stévens, Benjamin; Hoyoux, Renaud; Louppe, Gilles; Vandaele, Rémy; Begon, Jean-Michel; Kainz, Philipp; Geurts, Pierre; Wehenkel, Louis.
Afiliação
  • Marée R; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium Bioimage Analysis Unit, Institut Pasteur, Paris, France.
  • Rollus L; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Stévens B; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Hoyoux R; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Louppe G; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Vandaele R; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Begon JM; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Kainz P; Institute of Biophysics, Medical University of Graz, Graz, Austria.
  • Geurts P; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
  • Wehenkel L; Systems and Modeling, Department of Electrical Engineering and Computer Science and GIGA-Research, University of Liège, Liège, Belgium.
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.
Assuntos

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

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