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Fully automated identification of cephalometric landmarks for upper airway assessment using cascaded convolutional neural networks.

Hyun-Joo YoonDong-Ryul KimEunseo GwonNamkug KimSeung-Hak BaekHyo-Won AhnKyung-A KimSu-Jung Kim
Published in: European journal of orthodontics (2021)
The proposed CNN model suggests the availability of an automated cephalometric UA assessment to be integrated with dentoskeletal and facial analysis.
Keyphrases
  • convolutional neural network
  • deep learning
  • machine learning
  • high throughput