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Neural network segmentation of disc volume from magnetic resonance images and the effect of degeneration and spinal level.

Milad I MarkhaliJohn M PeloquinKyle D MeadowsHarrah R NewmanDawn M Elliott
Published in: JOR spine (2024)
This study successfully trained a U-Net model for automatic slice-wise segmentation of 3D disc volumes from populations with a wide range of ages and disc degeneration. The final trained model is available to support scientific use.
Keyphrases
  • deep learning
  • neural network
  • convolutional neural network
  • magnetic resonance
  • resistance training
  • machine learning
  • optical coherence tomography
  • body composition