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 …

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 …

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 …

Accuracy of advanced deep learning with tensorflow and keras for classifying teeth developmental stages in digital panoramic imaging

N Mohammad, AM Muad, R Ahmad, MYPM Yusof - BMC medical imaging, 2022 - Springer
Background This study aims to propose the combinations of image processing and machine
learning model to segment the maturity development of the mandibular premolars using a …

Predictive artificial intelligence model for detecting dental age using panoramic radiograph images

SS Aljameel, L Althumairy, B Albassam… - Big Data and Cognitive …, 2023 - mdpi.com
Predicting dental development in individuals, especially children, is important in evaluating
dental maturity and determining the factors that influence the development of teeth and …

[HTML][HTML] Deep Learning Models for Classification of Deciduous and Permanent Teeth From Digital Panoramic Images

M Jaiswal, M Sharma, P Khandnor, A Goyal, R Belokar… - Cureus, 2023 - ncbi.nlm.nih.gov
Introduction: Dental radiographs are essential in the diagnostic process in dentistry. They
serve various purposes, including determining age, analyzing patterns of tooth …

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs

MC Kılıc, IS Bayrakdar, Ö Çelik, E Bilgir… - Dentomaxillofacial …, 2021 - academic.oup.com
Objective: This study evaluated the use of a deep-learning approach for automated
detection and numbering of deciduous teeth in children as depicted on panoramic …

Children's dental panoramic radiographs dataset for caries segmentation and dental disease detection

Y Zhang, F Ye, L Chen, F Xu, X Chen, H Wu, M Cao… - Scientific Data, 2023 - nature.com
When dentists see pediatric patients with more complex tooth development than adults
during tooth replacement, they need to manually determine the patient's disease with the …

[HTML][HTML] YOLO-V5 based deep learning approach for tooth detection and segmentation on pediatric panoramic radiographs in mixed dentition

B Beser, T Reis, MN Berber… - BMC Medical …, 2024 - bmcmedimaging.biomedcentral.com
In the interpretation of panoramic radiographs (PRs), the identification and numbering of
teeth is an important part of the correct diagnosis. This study evaluates the effectiveness of …