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Dental Age Estimation Based on X-ray Images

Noor Mualla1, Essam H Houssein2, *, M. R. Hassan1

1 Computer Science Branch, Mathematics Department, Faculty of Science, Aswan University, Aswan, Egypt.
2 Department of Computer Science, Faculty of Computers and Information, Minia University, Minya, Egypt.

* Corresponding Author: Essam H Houssein. Email: email.

Computers, Materials & Continua 2020, 62(2), 591-605.


Chronological age estimation using panoramic dental X-ray images is an essential task in forensic sciences. Various statistical approaches have proposed by considering the teeth and mandible. However, building automated dental age estimation based on machine learning techniques needs more research efforts. In this paper, an automated dental age estimation is proposed using transfer learning. In the proposed approach, features are extracted using two deep neural networks namely, AlexNet and ResNet. Several classifiers are proposed to perform the classification task including decision tree, k-nearest neighbor, linear discriminant, and support vector machine. The proposed approach is evaluated using a number of suitable performance metrics using a dataset that contains 1429 dental X-ray images. The obtained results show that the proposed approach has a promising performance.


Cite This Article

N. Mualla, E. H Houssein and M. R. Hassan, "Dental age estimation based on x-ray images," Computers, Materials & Continua, vol. 62, no.2, pp. 591–605, 2020.


cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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