Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

Automated cephalometric landmark detection with confidence regions using Bayesian convolutional neural networks

Abstract Background Despite the integral role of cephalometric analysis in orthodontics, there have been limitations regarding the reliability, accuracy, etc. of cephalometric landmarks tracing. Attempts on developing automatic plotting systems have continuously been made but they are insufficient f...

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Bibliographic Details
Main Authors: Jeong-Hoon Lee, Hee-Jin Yu, Min-ji Kim, Jin-Woo Kim, Jongeun Choi
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Oral Health
Subjects:
Artificial neural networks
Bayesian method
Cephalometry
Orthodontics
Machine vision
Deep learning
Online Access:http://link.springer.com/article/10.1186/s12903-020-01256-7

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http://link.springer.com/article/10.1186/s12903-020-01256-7

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