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Automatic MRI-based rotator cuff muscle segmentation using U-Nets.

Ehsan AlipourMajid ChalianAtefe PooyanArash AzhidehFiroozeh Shomal ZadehHesamoddin Jahanian
Published in: Skeletal radiology (2023)
Our computational models demonstrated the capability to delineate RC muscles with a level of precision akin to that of experienced radiologists. As hypothesized, the proposed algorithm exhibited superior performance when segmenting muscles with well-defined boundaries, including the supraspinatus, subscapularis, and infraspinatus muscles.
Keyphrases
  • rotator cuff
  • deep learning
  • machine learning
  • artificial intelligence
  • magnetic resonance imaging
  • convolutional neural network
  • skeletal muscle
  • contrast enhanced
  • diffusion weighted imaging
  • magnetic resonance