Noor Mualla1, Essam H Houssein2, *, M. R. Hassan1
CMC-Computers, Materials & Continua, Vol.62, No.2, pp. 591-605, 2020, DOI:10.32604/cmc.2020.08580
Abstract 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 More >
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