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Deep Neural Networks for Dental Implant System Classification

In this study, we used panoramic X-ray images to classify and clarify the accuracy of different dental implant brands via deep convolutional neural networks (CNNs) with transfer-learning strategies. For objective labeling, 8859 implant images of 11 implant systems were used from digital panoramic ra...

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Autores principales: Sukegawa, Shintaro, Yoshii, Kazumasa, Hara, Takeshi, Yamashita, Katsusuke, Nakano, Keisuke, Yamamoto, Norio, Nagatsuka, Hitoshi, Furuki, Yoshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407934/
https://www.ncbi.nlm.nih.gov/pubmed/32630195
http://dx.doi.org/10.3390/biom10070984
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author Sukegawa, Shintaro
Yoshii, Kazumasa
Hara, Takeshi
Yamashita, Katsusuke
Nakano, Keisuke
Yamamoto, Norio
Nagatsuka, Hitoshi
Furuki, Yoshihiko
author_facet Sukegawa, Shintaro
Yoshii, Kazumasa
Hara, Takeshi
Yamashita, Katsusuke
Nakano, Keisuke
Yamamoto, Norio
Nagatsuka, Hitoshi
Furuki, Yoshihiko
author_sort Sukegawa, Shintaro
collection PubMed
description In this study, we used panoramic X-ray images to classify and clarify the accuracy of different dental implant brands via deep convolutional neural networks (CNNs) with transfer-learning strategies. For objective labeling, 8859 implant images of 11 implant systems were used from digital panoramic radiographs obtained from patients who underwent dental implant treatment at Kagawa Prefectural Central Hospital, Japan, between 2005 and 2019. Five deep CNN models (specifically, a basic CNN with three convolutional layers, VGG16 and VGG19 transfer-learning models, and finely tuned VGG16 and VGG19) were evaluated for implant classification. Among the five models, the finely tuned VGG16 model exhibited the highest implant classification performance. The finely tuned VGG19 was second best, followed by the normal transfer-learning VGG16. We confirmed that the finely tuned VGG16 and VGG19 CNNs could accurately classify dental implant systems from 11 types of panoramic X-ray images.
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spelling pubmed-74079342020-08-12 Deep Neural Networks for Dental Implant System Classification Sukegawa, Shintaro Yoshii, Kazumasa Hara, Takeshi Yamashita, Katsusuke Nakano, Keisuke Yamamoto, Norio Nagatsuka, Hitoshi Furuki, Yoshihiko Biomolecules Article In this study, we used panoramic X-ray images to classify and clarify the accuracy of different dental implant brands via deep convolutional neural networks (CNNs) with transfer-learning strategies. For objective labeling, 8859 implant images of 11 implant systems were used from digital panoramic radiographs obtained from patients who underwent dental implant treatment at Kagawa Prefectural Central Hospital, Japan, between 2005 and 2019. Five deep CNN models (specifically, a basic CNN with three convolutional layers, VGG16 and VGG19 transfer-learning models, and finely tuned VGG16 and VGG19) were evaluated for implant classification. Among the five models, the finely tuned VGG16 model exhibited the highest implant classification performance. The finely tuned VGG19 was second best, followed by the normal transfer-learning VGG16. We confirmed that the finely tuned VGG16 and VGG19 CNNs could accurately classify dental implant systems from 11 types of panoramic X-ray images. MDPI 2020-07-01 /pmc/articles/PMC7407934/ /pubmed/32630195 http://dx.doi.org/10.3390/biom10070984 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sukegawa, Shintaro
Yoshii, Kazumasa
Hara, Takeshi
Yamashita, Katsusuke
Nakano, Keisuke
Yamamoto, Norio
Nagatsuka, Hitoshi
Furuki, Yoshihiko
Deep Neural Networks for Dental Implant System Classification
title Deep Neural Networks for Dental Implant System Classification
title_full Deep Neural Networks for Dental Implant System Classification
title_fullStr Deep Neural Networks for Dental Implant System Classification
title_full_unstemmed Deep Neural Networks for Dental Implant System Classification
title_short Deep Neural Networks for Dental Implant System Classification
title_sort deep neural networks for dental implant system classification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7407934/
https://www.ncbi.nlm.nih.gov/pubmed/32630195
http://dx.doi.org/10.3390/biom10070984
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