Deep learning methods for fully automated dental age estimation on orthopantomograms

Y Shi, Z Ye, J Guo, Y Tang, W Dong, J Dai… - Clinical Oral …, 2024 - Springer
Objectives This study aimed to use all permanent teeth as the target and establish an
automated dental age estimation method across all developmental stages of permanent …

Automatic dental age calculation from panoramic radiographs using deep learning: a two-stage approach with object detection and image classification

K Kokomoto, R Kariya, A Muranaka, R Okawa… - BMC Oral Health, 2024 - Springer
Background Dental age is crucial for treatment planning in pediatric and orthodontic
dentistry. Dental age calculation methods can be categorized into morphological …

An automatic methodology for full dentition maturity staging from OPG images using deep learning

W Dong, M You, T He, J Dai, Y Tang, Y Shi, J Guo - Applied Intelligence, 2023 - Springer
Accurate maturity identification of permanent teeth for children and adolescents using
orthopantomogram (OPG) images is crucial in pediatric dentistry. Although recent …

Dental age estimation using deep learning: A comparative survey

EG Mohamed, RPD Redondo, A Koura, MS EL-Mofty… - Computation, 2023 - mdpi.com
The significance of age estimation arises from its applications in various fields, such as
forensics, criminal investigation, and illegal immigration. Due to the increased importance of …

A population-based study to assess two convolutional neural networks for dental age estimation

J Wang, J Dou, J Han, G Li, J Tao - BMC Oral Health, 2023 - Springer
Background Dental age (DA) estimation using two convolutional neural networks (CNNs),
VGG16 and ResNet101, remains unexplored. In this study, we aimed to investigate the …

Age-group determination of living individuals using first molar images based on artificial intelligence

S Kim, YH Lee, YK Noh, FC Park, QS Auh - Scientific reports, 2021 - nature.com
Dental age estimation of living individuals is difficult and challenging, and there is no
consensus method in adults with permanent dentition. Thus, we aimed to provide an …

Fully automated deep learning approach to dental development assessment in panoramic radiographs

SH Ong, H Kim, JS Song, TJ Shin, HK Hyun, KT Jang… - BMC Oral Health, 2024 - Springer
Background Dental development assessment is an important factor in dental age estimation
and dental maturity evaluation. This study aimed to develop and evaluate the performance …

Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images

YC Guo, M Han, Y Chi, H Long, D Zhang… - International journal of …, 2021 - Springer
Age estimation is an important challenge in many fields, including immigrant identification,
legal requirements, and clinical treatments. Deep learning techniques have been applied for …

With or without human interference for precise age estimation based on machine learning?

M Han, S Du, Y Ge, D Zhang, Y Chi, H Long… - International Journal of …, 2022 - Springer
Age estimation can aid in forensic medicine applications, diagnosis, and treatment planning
for orthodontics and pediatrics. Existing dental age estimation methods rely heavily on …

Artificial Intelligence (AI)-Based Systems for Automatic Skeletal Maturity Assessment through Bone and Teeth Analysis: A Revolution in the Radiological Workflow?

E Caloro, M Cè, D Gibelli, A Palamenghi… - Applied Sciences, 2023 - mdpi.com
Bone age is an indicator of bone maturity and is useful for the treatment of different pediatric
conditions as well as for legal issues. Bone age can be assessed by the analysis of different …