Med-ImageTools: An open-source Python package for robust data processing pipelines and curating medical imaging data.

Journal: F1000Research
Published Date: Feb 7, 2025

Abstract

BACKGROUND: Machine learning and AI promise to revolutionize the way we leverage medical imaging data for improving care but require large datasets to train computational models that can be implemented in clinical practice. However, processing large and complex medical imaging datasets remains an open challenge.

Authors

  • Sejin Kim
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Michal Kazmierski
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Kevin Qu
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Jacob Peoples
    Centre for Health Innovation, Queen's University and Kingston Health Science Centre, Kingston, ON, Canada.
  • Minoru Nakano
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Vishwesh Ramanathan
    Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada.
  • Joseph Marsilla
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Mattea Welch
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.
  • Amber Simpson
    Centre for Health Innovation, Queen's University and Kingston Health Science Centre, Kingston, ON, Canada.
  • Benjamin Haibe-Kains
    Princess Margaret Cancer Centre, University Health Network, Canada, Toronto, ON, Canada.

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