Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.

Journal: European radiology
Published Date: Apr 16, 2021

Abstract

OBJECTIVES: To perform a systematic review of design and reporting of imaging studies applying convolutional neural network models for radiological cancer diagnosis.

Authors

  • Robert J O'Shea
    Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK. robert.1.oshea@kcl.ac.uk.
  • Amy Rose Sharkey
    Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, 5th floor, Becket House, 1 Lambeth Palace Road, London, SE1 7EU, UK.
  • Gary J R Cook
    Cancer Imaging Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK. gary.cook@kcl.ac.uk.
  • Vicky Goh
    Department of Cancer Imaging, King's College London, London SE1 7EH, United Kingdom.

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