Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review.

Journal: Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Published Date: Sep 12, 2019

Abstract

PURPOSE: The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies in ML applied to medical imaging and to propose recommendations for future work in the field.

Authors

  • Indranil Balki
    Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada.
  • Afsaneh Amirabadi
    Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada; Department of Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada.
  • Jacob Levman
    Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical SchoolBoston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalCharlestown, MA, USA.
  • Anne L Martel
    Department of Medical Biophysics, University of Toronto, Canada; Department of Imaging Research, Sunnybrook Research Institute, Toronto, Canada.
  • Ziga Emersic
    Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
  • Blaz Meden
    Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia.
  • Angel Garcia-Pedrero
    Department of Botany, Universidad de Valladolid, Castile and Leon, Spain.
  • Saul C Ramirez
    Computing School, Instituto Tecnológico de Costa Rica, Cartago, Costa Rica.
  • Dehan Kong
    Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada.
  • Alan R Moody
    Department of Medical Imaging, University of Toronto, Toronto, ON Canada.
  • Pascal N Tyrrell
    Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada; Department of Statistical Sciences, University of Toronto, Toronto, Ontario, Canada. Electronic address: pascal.tyrrell@utoronto.ca.

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