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

• Main Authors: Saori Takeda (Author), Yuichi Mine (Author), Yuki Yoshimi (Author), Shota Ito (Author), Kotaro Tanimoto (Author), Takeshi Murayama (Author)
• Format: Book
• Published: Elsevier, 2021-07-01T00:00:00Z.
• Subjects: article
• Online Access: 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...