卷积神经网络在牙体牙髓病学中的应用进展

Application progress of convolution neural network in endodontics

摘要

在计算机算法迅速发展的信息时代，深度学习的应用在各个领域均受到了广泛关注，而卷积神经网络则是深度学习中最为典型的网络结构之一，具有突出的学习能力及适应能力，在图像的识别处理上表现尤为出色。与此同时，在牙体牙髓病学的发展过程中，卷积神经网络的应用也越发常见，例如协助医生进行龋病、根尖周病的分析、诊断、治疗、预后评估等，有利于缓解医疗资源紧缺、推动牙体牙髓病学的发展。本文就卷积神经网络在牙体牙髓病学中的应用进展进行总结，并对其未来发展可能进行初步展望。

Abstract

In the information age with the rapid development of computer algorithms, the application of deep learning has received extensive attention in various fields. As one of the most typical network structures in deep learning, a convolutional neural network has outstanding learning ability and great adaptability and plays an important role especially in image recognition and processing. Meanwhile, in the development of endodontics, the application of convolutional neural networks has become increasingly common, such as in assisting doctors in the analysis, diagnosis, treatment, and prognosis evaluation of caries and periapical diseases. Such networks have contributed to alleviating the shortage of medical resources and promoting the development of endodontics. This paper mainly summarizes the application of convolutional neural networks in endodontics and looks forward to its future.

关键词

深度学习 / 卷积神经网络 / 牙体牙髓病学

Key words

deep learning / convolution neural network / endodontics

Author summay

陈新月，医师，硕士，Email：[e-mail]