A Computer Aided Dental Age Analysis Method Based on Neural Network

Abstract

The invention discloses a computer-aided tooth age analysis method based on a neural network, which relates to the technical field of data analysis and processing of tooth age images. In order to solve the problems of labor consumption and low detection efficiency, the present invention first completes the collection and statistics of the panoramic image data, and the annotation of the panoramic image data. The annotation of the panoramic image data includes the target frame and classification label of each tooth. The target frame containing the teeth is called the labeled target frame. The end-to-end network is constructed by adding the branch prediction module and the fusion module, and the end-to-end network is trained through a novel iterative adaptive Gamma correction training method. The end-to-end network directly performs tooth positioning and tooth age analysis for the panoramic image data input, which makes the detection and analysis operation of tooth age easier, better effect, shorter time-consuming, and higher detection efficiency.

Description

technical field [0001] The present invention relates to the technical field of data analysis and processing of dental age images, and more specifically relates to the technical field of a neural network-based computer-aided dental age analysis method. Background technique [0002] Age estimation has very important applications in the fields of forensic identification and criminal proceedings. For the age estimation of groups that cannot provide written proof of date of birth, it needs to rely on some physiological characteristics. Commonly used methods include the development of bones and teeth, and teeth as The necessary parts of the human body can be observed in different stages of development in the panoramic image data. A person's age can be inferred from the observation of the growth and development of the teeth to infer a more accurate real age. The tooth age analysis has high accuracy and reliability , so it is widely used; however, manual estimation of dental age is ...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is: in order to solve the problems of complex operation, limited effect, time-consuming and labor-consuming, and low detection efficiency in the detection and analysis of tooth age in the prior art, the present invention provides a computer-aided tooth age based on neural network. The analysis method constructs the end-to-end network by adding the branch prediction module and the fusion module, trains the end-to-end network through a novel iterative adaptive Gamma correction training method, and uses the trained end-to-end network to analyze the panorama image data The input directly carries out tooth positioning and tooth age analysis, so that the detection and analysis of tooth age is easier, the effect is better, the time-consuming is shorter, and the detection efficiency is higher.

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