Landmark annotation and mandibular lateral deviation analysis of posteroanterior cephalograms using a convolutional neural network

• Главные авторы: Saori Takeda (Автор), Yuichi Mine (Автор), Yuki Yoshimi (Автор), Shota Ito (Автор), Kotaro Tanimoto (Автор), Takeshi Murayama (Автор)
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• Опубликовано: Elsevier, 2021-07-01T00:00:00Z.
• Предметы: article
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Background/purpose: Facial asymmetry is relatively common in the general population. Here, we propose a fully automated annotation system that supports analysis of mandibular deviation and detection of facial asymmetry in posteroanterior (PA) cephalograms by means of a deep learning-based convolutio...