MRI deep learning models for assisted diagnosis of knee pathologies: a systematic review.

Journal: European radiology
Published Date: Oct 18, 2024

Abstract

OBJECTIVES: Despite showing encouraging outcomes, the precision of deep learning (DL) models using different convolutional neural networks (CNNs) for diagnosis remains under investigation. This systematic review aims to summarise the status of DL MRI models developed for assisting the diagnosis of a variety of knee abnormalities.

Authors

  • Keiley Mead
    The University of Sydney School of Health Sciences, Sydney, NSW, Australia. kmea3418@uni.sydney.edu.au.
  • Tom Cross
    The Stadium Sports Medicine Clinic, Sydney, NSW, Australia.
  • Greg Roger
    Vestech Medical Pty Limited, Sydney, NSW, Australia.
  • Rohan Sabharwal
    PRP Diagnostic Imaging, Sydney, NSW, Australia.
  • Sahaj Singh
    PRP Diagnostic Imaging, Sydney, NSW, Australia.
  • Nicola Giannotti
    The University of Sydney School of Health Sciences, Sydney, NSW, Australia.

Keywords

External Resources

Popular Topics
Recent Journals