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A deep-learning-based workflow to assess taxonomic affinity of hominid teeth with a test on discriminating Pongo and Homo upper molars.

Zhixing YiClément ZanolliWei LiaoWei Wang
Published in: American journal of physical anthropology (2021)
This workflow paves a way for future studies using CNN to address taxonomic complexity (e.g., distinguishing Pongo and Homo teeth from the Pleistocene of Asia). Further improvements include visual interpretation and extending the applicability to moderately worn teeth.
Keyphrases
  • deep learning
  • convolutional neural network
  • electronic health record
  • cone beam computed tomography
  • current status