Login / Signup

Deep learning-based automatic pipeline for quantitative assessment of thigh muscle morphology and fatty infiltration.

Sibaji GajBrendan L EckDongxing XieRichard LarteyCharlotte LoWilliam ZaylorMingrui YangKunio NakamuraCarl S WinalskiKurt P SpindlerXiaojuan Li
Published in: Magnetic resonance in medicine (2023)
The proposed method exhibits excellent accuracy and reproducibility in CSA and FF quantification compared with manual segmentation and can be used in large-scale patient studies.
Keyphrases
  • deep learning
  • convolutional neural network
  • artificial intelligence
  • case report
  • machine learning
  • skeletal muscle
  • case control
  • soft tissue
  • fatty acid