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Reproducibility of semiautomated body composition segmentation of abdominal computed tomography: a multiobserver study.

Lisa Jannicke KjønigsenMagnus HarneshaugAnn-Monica FløttenLena Korsmo KarterudKent PettersonGrethe SkjoldeHeidi B EggesbøHarald Weedon-FekjærHege Berg HenriksenPeter Mæhre Lauritzen
Published in: European radiology experimental (2019)
Body composition segmentation showed a very low level of operator dependability. Multiple observers may interchangeably perform this task with highly reproducible results.
Keyphrases
  • body composition
  • resistance training
  • computed tomography
  • bone mineral density
  • deep learning
  • convolutional neural network
  • magnetic resonance imaging
  • positron emission tomography
  • contrast enhanced