pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis.

Journal: Computer methods and programs in biomedicine
Published Date: Oct 19, 2020

Abstract

BACKGROUND AND OBJECTIVE: Deep learning enables tremendous progress in medical image analysis. One driving force of this progress are open-source frameworks like TensorFlow and PyTorch. However, these frameworks rarely address issues specific to the domain of medical image analysis, such as 3-D data handling and distance metrics for evaluation. pymia, an open-source Python package, tries to address these issues by providing flexible data handling and evaluation independent of the deep learning framework.

Authors

  • Alain Jungo
    Insel Data Science Center, Inselspital, Bern University Hospital, Bern, Switzerland.
  • Olivier Scheidegger
    e Department of Neurology , Inselspital, University of Bern , Bern , Switzerland.
  • Mauricio Reyes
    Center for Artificial Intelligence in Medicine, University of Bern, Bern, Switzerland.
  • Fabian Balsiger
    ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland. Electronic address: fabian.balsiger@artorg.unibe.ch.

Keywords

External Resources

Popular Topics
Recent Journals