Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals

Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals

Abstract Background Posteroanterior and lateral cephalogram have been widely used for evaluating the necessity of orthognathic surgery. The purpose of this study was to develop a deep learning network to automatically predict the need for orthodontic surgery using cephalogram. Methods The cephalogra...

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Bibliographic Details
Main Authors: WooSang Shin, Han-Gyeol Yeom, Ga Hyung Lee, Jong Pil Yun, Seung Hyun Jeong, Jong Hyun Lee, Hwi Kang Kim, Bong Chul Kim
Format: Article
Language:English
Published: BMC 2021-03-01
Series:BMC Oral Health
Subjects:
Cephalogram
Machine learning
Machine intelligence
Orthognathic surgery
Online Access:https://doi.org/10.1186/s12903-021-01513-3

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