Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks
Тип публикации: Proceedings Article
Дата публикации: 2021-09-20
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This article describes the goals and objectives of developing a software complex for planning the treatment of dentoalveolar anomalies, the architecture of the software complex as interacting components for treatment planning, as well as the principle of using algorithms using convolutional neural networks within the software complex for a component that solves the problem of decoding a teleradiographic image.
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Kolsanov A. V. et al. Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks // 2021 International Conference on Information Technology and Nanotechnology (ITNT). 2021.
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Kolsanov A. V., Popov N., Aiupova I., Dobratulin K., Gaidel A. Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks // 2021 International Conference on Information Technology and Nanotechnology (ITNT). 2021.
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TY - CPAPER
DO - 10.1109/ITNT52450.2021.9649289
UR - https://doi.org/10.1109/ITNT52450.2021.9649289
TI - Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks
T2 - 2021 International Conference on Information Technology and Nanotechnology (ITNT)
AU - Kolsanov, A. V.
AU - Popov, Nikolai
AU - Aiupova, Irina
AU - Dobratulin, Konstantin
AU - Gaidel, Andrey
PY - 2021
DA - 2021/09/20
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -
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@inproceedings{2021_Kolsanov,
author = {A. V. Kolsanov and Nikolai Popov and Irina Aiupova and Konstantin Dobratulin and Andrey Gaidel},
title = {Development of a software complex for the diagnosis of dentoalveolar anomalies using neural networks},
year = {2021},
month = {sep},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)}
}