RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism

Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet, a fast caries detection method for the requireme...

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Autores principales:	Hao Jiang, Peiliang Zhang, Chao Che, Bo Jin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/56fa93e47d21432a818a972ba6754eae
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id	oai:doaj.org-article:56fa93e47d21432a818a972ba6754eae
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spelling	oai:doaj.org-article:56fa93e47d21432a818a972ba6754eae2021-11-22T01:10:55ZRDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism1748-671810.1155/2021/9773917https://doaj.org/article/56fa93e47d21432a818a972ba6754eae2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9773917https://doaj.org/toc/1748-6718Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet, a fast caries detection method for the requirement of detecting caries on portable devices. The method incorporates the transformer mechanism in the backbone network for feature extraction, which improves the accuracy of caries detection and uses the FReLU activation function for activating visual-spatial information to improve the speed of caries detection. The experimental results on the image dataset constructed in this study show that the accuracy and speed of the method for caries detection are improved compared with the existing methods, achieving a good balance in accuracy and speed of caries detection, which can be applied to smart portable devices to facilitate human dental health management.Hao JiangPeiliang ZhangChao CheBo JinHindawi LimitedarticleComputer applications to medicine. Medical informaticsR858-859.7ENComputational and Mathematical Methods in Medicine, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Computer applications to medicine. Medical informatics R858-859.7 Hao Jiang Peiliang Zhang Chao Che Bo Jin RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
description	Dental caries is a prevalent disease of the human oral cavity. Given the lack of research on digital images for caries detection, we construct a caries detection dataset based on the caries images annotated by professional dentists and propose RDFNet, a fast caries detection method for the requirement of detecting caries on portable devices. The method incorporates the transformer mechanism in the backbone network for feature extraction, which improves the accuracy of caries detection and uses the FReLU activation function for activating visual-spatial information to improve the speed of caries detection. The experimental results on the image dataset constructed in this study show that the accuracy and speed of the method for caries detection are improved compared with the existing methods, achieving a good balance in accuracy and speed of caries detection, which can be applied to smart portable devices to facilitate human dental health management.
format	article
author	Hao Jiang Peiliang Zhang Chao Che Bo Jin
author_facet	Hao Jiang Peiliang Zhang Chao Che Bo Jin
author_sort	Hao Jiang
title	RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
title_short	RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
title_full	RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
title_fullStr	RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
title_full_unstemmed	RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism
title_sort	rdfnet: a fast caries detection method incorporating transformer mechanism
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/56fa93e47d21432a818a972ba6754eae
work_keys_str_mv	AT haojiang rdfnetafastcariesdetectionmethodincorporatingtransformermechanism AT peiliangzhang rdfnetafastcariesdetectionmethodincorporatingtransformermechanism AT chaoche rdfnetafastcariesdetectionmethodincorporatingtransformermechanism AT bojin rdfnetafastcariesdetectionmethodincorporatingtransformermechanism
_version_	1718418340305698816

RDFNet: A Fast Caries Detection Method Incorporating Transformer Mechanism

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