JDLL: a library to run deep learning models on Java bioimage informatics platforms.

Journal: Nature methods
Published Date:

Abstract

No abstract available for this article.

Authors

  • Carlos García López de Haro
    Bioimage Analysis Unit, Institut Pasteur, Université Paris Cité, Paris, France.
  • Stéphane Dallongeville
    Institut Pasteur, BioImage Analysis Unit, CNRS UMR 3691, Paris, France.
  • Thomas Musset
    Bioimage Analysis Unit, Institut Pasteur, Université Paris Cité, Paris, France.
  • Estibaliz Gómez-de-Mariscal
    Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.
  • Daniel Sage
    Biomedical Imaging Group and EPFL Center for Imaging, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. daniel.sage@epfl.ch.
  • Wei Ouyang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Arrate Muñoz-Barrutia
    Bioengineering and Aerospace Engineering Department, Universidad Carlos III de Madrid and Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain. mamunozb@ing.uc3m.es.
  • Jean-Yves Tinevez
    Image Analysis Hub, Institut Pasteur, Université Paris Cité, Paris, France. jean-yves.tinevez@pasteur.fr.
  • Jean-Christophe Olivo-Marin
    Institut Pasteur, BioImage Analysis Unit, CNRS UMR 3691, Paris, France. jean-christophe.olivo-marin@pasteur.fr.