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

• Príomhchruthaitheoirí: Saori Takeda (Údar), Yuichi Mine (Údar), Yuki Yoshimi (Údar), Shota Ito (Údar), Kotaro Tanimoto (Údar), Takeshi Murayama (Údar)
• Formáid: LEABHAR
• Foilsithe / Cruthaithe: Elsevier, 2021-07-01T00:00:00Z.
• Ábhair: article
• Rochtain ar líne: 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...