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Clinical applicability of automated cephalometric landmark identification: Part II - Number of images needed to re-learn various quality of images.

Chihiro TanikawaAyaka OkaJaeyoen LimChonho LeeTakashi Yamashiro
Published in: Orthodontics & craniofacial research (2021)
The number of cephalograms needed to re-learn for images of different quality was estimated.
Keyphrases
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • machine learning
  • quality improvement
  • high throughput