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Clinical validation of a deep-learning-based bone age software in healthy Korean children.

Hyo-Kyoung NamWinnah Wu-In LeaZepa YangEunjin NohYoung-Jun RhieKee-Hyoung LeeSuk-Joo Hong
Published in: Annals of pediatric endocrinology & metabolism (2024)
The DL-based BA software showed a low concordance rate and a tendency to underestimate the BA in healthy Korean children.
Keyphrases
  • deep learning
  • young adults
  • convolutional neural network
  • body composition