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Tooth detection and numbering in panoramic radiographs using convolutional neural networks

机译：卷积神经网络全景射线照相牙齿检测和编号

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Dmitry V. Tuzoff; Lyudmila N. Tuzova; Michael M. Bornstein; Alexey S. Krasnov; Max A. Kharchenko; Sergey I. Nikolenko; Mikhail M. Sveshnikov; Georgiy B. Bednenko;
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1. Tooth detection and numbering in panoramic radiographs using convolutional neural networks [J] . Tuzoff Dmitry V, Tuzova Lyudmila N., Bornstein Michael M., DentoMaxilloFacial Radiology . 2019,第4期

机译：卷积神经网络全景射线照相牙齿检测和编号
2. Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks [J] . Bhornsawan Thanathornwong, Siriwan Suebnukarn Imaging Science in Dentistry . 2020,第2期

机译：使用更快的区域卷积神经网络自动检测数字全景射线照相中的牙周受损牙齿
3. Teeth Detection Algorithm and Teeth Condition Classification Based on Convolutional Neural Networks for Dental Panoramic Radiographs [J] . Lin Nung-Hsiang, Lin Ting-Lan, Wang Xiaoyue, Journal of Medical Imaging and Health Informatics . 2018,第3期

机译：牙齿检测算法基于牙科全景射线照相卷积神经网络的牙齿检测算法和牙齿状况
4. Identifying Medically-compromised Patients with Periodontitis-Associated Cardiovascular Diseases Using Convolutional Neural Network-facilitated Multilabel Classification of Panoramic Radiographs [C] . Kevin Sheng-Kai Ma, Yu-Jia Liou, Po-Hao Huang, International Conference on Applied Artificial Intelligence . 2021

机译：使用卷积神经网络促进的全景射线照相的多标签分类鉴定牙周炎相关心血管疾病的医学损害患者
5. Development of an Algorithm for Detection and Recovery of Corruption in Convolutional Neural Networks Data Storage [D] . Ramzanpour, Mohammadreza. 2021

机译：卷积神经网络数据存储中腐败检测与恢复算法的开发
6. Tooth detection and numbering in panoramic radiographs using convolutionalneural networks [O] . Dmitry V. Tuzoff, Lyudmila N. Tuzova, Michael M. Bornstein, 2019

机译：使用卷积法对全景X射线照片中的牙齿进行检测和编号神经网络
7. Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks [O] . Bhornsawan Thanathornwong, Siriwan Suebnukarn 2020

机译：使用更快的区域卷积神经网络自动检测数字全景射线照相中的牙周受损牙齿

Tooth detection and numbering in panoramic radiographs using convolutional neural networks

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