Forecasting Teeth Cavities By Convolutional Neural Network

Tiantian Wang, Muhammad Aqeel, P. Norouzzadeh, Salih Tutun, Eli Snir, Golnesa Rouie Miab, Laila Al Dehailan, Bahareh Rahmani
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Abstract

Oral health is crucial to overall good health, and yet because dental services are expensive, time consuming and stressful for patients, dental problems are often left unaddressed, leading to the need for far more expensive and painful interventions down the road. The main goal of this project is using AI and deep learning to develop software to detect cavities and other dental problems and providing the corresponding app to improve dental health. We applied convolutional neural network (CNN) to find the teeth caries. Canny Edge CNN model performed the best training.
用卷积神经网络预测牙洞
口腔健康对整体健康至关重要,然而,由于牙科服务昂贵、耗时且给患者带来压力,牙齿问题往往得不到解决,导致今后需要更昂贵、更痛苦的干预措施。该项目的主要目标是利用人工智能和深度学习开发软件来检测蛀牙和其他牙齿问题,并提供相应的应用程序来改善牙齿健康。我们应用卷积神经网络(CNN)来发现龋齿。Canny Edge CNN模型的训练效果最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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