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

• Asıl Yazarlar: Saori Takeda (Yazar), Yuichi Mine (Yazar), Yuki Yoshimi (Yazar), Shota Ito (Yazar), Kotaro Tanimoto (Yazar), Takeshi Murayama (Yazar)
• Materyal Türü: Kitap
• Baskı/Yayın Bilgisi: Elsevier, 2021-07-01T00:00:00Z.
• Konular: article
• Online Erişim: Connect to this object online.

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...