Deep-Learning-Based Detection of Cranio-Spinal Differences between Skeletal Classification Using Cephalometric Radiography

The aim of this study was to reveal cranio-spinal differences between skeletal classification using convolutional neural networks (CNNs). Transverse and longitudinal cephalometric images of 832 patients were used for training and testing of CNNs (365 males and 467 females). Labeling was performed su...

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Bibliographic Details
Main Authors: Seung Hyun Jeong, Jong Pil Yun, Han-Gyeol Yeom, Hwi Kang Kim, Bong Chul Kim
Format: Article
Published: MDPI AG 2021-03-01
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