@Article{cmc.2020.08580,
AUTHOR = {Noor Mualla, Essam H Houssein, M. R. Hassan},
TITLE = {Dental Age Estimation Based on X-ray Images},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {62},
YEAR = {2020},
NUMBER = {2},
PAGES = {591--605},
URL = {http://www.techscience.com/cmc/v62n2/38266},
ISSN = {1546-2226},
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 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.},
DOI = {10.32604/cmc.2020.08580}
}