Age Group Classification of Dental Radiography without Precise Age Information Using Convolutional Neural Networks

Age Group Classification of Dental Radiography without Precise Age Information Using Convolutional Neural Networks

Automatic age estimation using panoramic dental radiographic images is an important procedure for forensics and personal oral healthcare. The accuracies of the age estimation have increased recently with the advances in deep neural networks (DNN), but DNN requires large sizes of the labeled dataset...

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Bibliographic Details
Main Authors: Yu-Rin Kim, Jae-Hyeok Choi, Jihyeong Ko, Young-Jin Jung, Byeongjun Kim, Seoul-Hee Nam, Won-Du Chang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Healthcare
Subjects:
dental age estimation
forensic dentistry
deep learning
oral health
data augmentation
Online Access:https://www.mdpi.com/2227-9032/11/8/1068

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https://www.mdpi.com/2227-9032/11/8/1068

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