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Influence of growth structures and fixed appliances on automated cephalometric landmark recognition with a customized convolutional neural network.

Teodora PopovaThomas StockerYeganeh KhazaeiYoana MalenovaAndrea WichelhausHisham Sabbagh
Published in: BMC oral health (2023)
The results indicated that growth structures and developmental stages of a dentition had an impact on the performance of the customized CNN model by dental cephalometric landmarks. Fixed orthodontic appliances such as brackets, bands, and other fixed orthodontic appliances, had no significant effect on the performance of the CNN model.
Keyphrases
  • convolutional neural network
  • deep learning
  • oral health
  • high resolution
  • machine learning
  • high throughput