An automatic methodology for full dentition maturity staging from OPG images using deep learning-Reference-Cited by-同舟云学术

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

Published:2023-10-31 Issue:23 Volume:53 Page:29514-29536
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Dong Wenxuan,You Meng,He Tao,Dai Jiaqi,Tang Yueting,Shi Yuchao,Guo Jixiang

Funder

National Natural Science Foundation of China

Science and Technology Department of Sichuan Province

China Postdoctoral Science Foundation

West China Hospital, Sichuan University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05096-0.pdf

Reference42 articles.

1. Chalakkal P, De Souza N, de Ataide IDN, Akkara F, Chandran R (2021) The resistance of succedaneous teeth to periapical infection: a series of seven cases. Contemp Clin Dent 12(1):88. https://doi.org/10.4103/ccd.ccd_68_20

2. Chen D, Li X, Lu F, Wang Y, Xiong F, Li Q (2019) Dentin dysplasia type I-A dental disease with genetic heterogeneity. Oral Dis 25(2):439–446. https://doi.org/10.1111/odi.12861

3. Bianchi, ML, Bishop, N., Guañabens, N, Hofmann, C, Jakob, F, Roux, C, Zillikens, M, Of the European Calcified Tissue Society, R.B.D.A.G (2020) Hypophosphatasia in adolescents and adults: overview of diagnosis and treatment. Osteoporosis International 31:1445–1460. https://doi.org/10.1007/s00198-020-05345-9

4. Mollabashi V, Yousefi F, Gharebabaei L, Amini P (2019) The relation between dental age and cervical vertebral maturation in orthodontic patients aged 8 to 16 years: a cross-sectional study. Int Orthod 17(4):710–718. https://doi.org/10.1016/j.ortho.2019.08.009

5. Koçak T, Akan B (2021) Assessment of maturation indicators in individuals with different skeletal malocclusion. Journal of Orofacial Orthopedics/- Fortschritte der Kieferorthopädie 82(3):187–197. https://doi.org/10.1007/s00056-021-00286-2

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1. Artificial intelligence and dental age estimation: development and validation of an automated stage allocation technique on all mandibular tooth types in panoramic radiographs;International Journal of Legal Medicine;2024-08-06

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