Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network

Comparison of cephalometric measurements between conventional and automatic cephalometric analysis using convolutional neural network

Abstract Objective The rapid development of artificial intelligence technologies for medical imaging has recently enabled automatic identification of anatomical landmarks on radiographs. The purpose of this study was to compare the results of an automatic cephalometric analysis using convolutional n...

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Bibliographic Details
Main Authors: Sangmin Jeon, Kyungmin Clara Lee
Format: Article
Language:English
Published: SpringerOpen 2021-05-01
Series:Progress in Orthodontics
Subjects:
Cephalometric analysis
Artificial intelligence
Machine learning
Convolutional neural network
Online Access:https://doi.org/10.1186/s40510-021-00358-4

Internet

https://doi.org/10.1186/s40510-021-00358-4

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