Dental Age Estimation Based on X-ray images

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 e...

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Bibliographic Details
Published in:Computers, materials & continua materials & continua, 2020, Vol.62 (2), p.591-605
Main Authors: Mualla, Noor, H Houssein, Essam, R. Hassan, M.
Format: Article
Language:English
Subjects:
Age
Artificial neural networks
Automation
Chronology
Decision trees
Feature extraction
Forensic science
Machine learning
Performance measurement
Support vector machines
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Summary: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.
ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2020.08580