Dental Age Estimation Using Deep Learning: A Comparative Survey

The significance of age estimation arises from its applications in various fields, such as forensics, criminal investigation, and illegal immigration. Due to the increased importance estimation, this area study requires more investigation development. Several methods for using biometrics traits, face, teeth, bones, voice. Among then, teeth are quite convenient since they resistant durable subject several changes childhood birth that can be used derive age. In paper, we summarize common traits how information has been previous research studies estimation. We have paid special attention traditional machine learning deep approaches dental Thus, summarized advances convolutional neural network (CNN) models estimate radiological images, 3D cone-beam computed tomography (CBCT), X-ray, orthopantomography (OPG) Finally, also point out main innovations would potentially increase performance systems.