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Deep-learning systems for diagnosing cleft palate on panoramic radiographs in patients with cleft alveolus.

Chiaki KuwadaYoshiko ArijiYoshitaka KiseMotoki FukudaMasako NishiyamaTakuma FunakoshiRihoko TakeuchiAiri SanaNorinaga KojimaEiichiro Ariji
Published in: Oral radiology (2022)
The deep learning-based models developed in the present study have potential for use in supporting observer interpretations of the presence of cleft palate on panoramic radiographs.
Keyphrases
  • deep learning
  • artificial intelligence
  • convolutional neural network
  • machine learning
  • cone beam computed tomography