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Anatomical landmark localization via convolutional neural networks for limb-length discrepancy measurements.

Andy Tsai
Published in: Pediatric radiology (2021)
This prototype CNN delivered promising results in predicting bone lengths from full-length lower-extremity radiographs and offers the potential use of a computer algorithm to predict LLD.
Keyphrases
  • convolutional neural network
  • deep learning
  • machine learning
  • bone mineral density
  • soft tissue
  • postmenopausal women
  • bone loss
  • risk assessment
  • body composition