Resolving the non-uniformity in the feature space of age estimation: A deep learning model based on feature clusters of panoramic images

Author:

Lee Taehan,Shin WooSang,Lee Jong-Hyeon,Lee Sangmoon,Yeom Han-Gyeol,Yun Jong Pil

Funder

Korea Institute of Industrial Technology

Publisher

Elsevier BV

Reference45 articles.

1. Predictive artificial intelligence model for detecting dental age using panoramic radiograph images;Aljameel;Big Data Cogn. Comput.,2023

2. Evaluation of convolutional neural network based on dental images for age estimation;Alkaabi,2019

3. Self-supervised learning with masked image modeling for teeth numbering, detection of dental restorations, and instance segmentation in dental panoramic radiographs;Almalki;: Proc. IEEE/CVF Winter Conf. Appl. Comput. Vis.,2023

4. Age estimation in children by measurement of open apices in teeth: a european formula;Cameriere;Int. J. Leg. Med.,2007

5. Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs;Chandrashekar;Comput. Biol. Med.,2022

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