Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning

Abstract In this paper, a new powerful deep learning framework, named as DENTECT, is developed in order to instantly detect five different dental treatment approaches and simultaneously number the dentition based on the FDI notation on panoramic X-ray images. This makes DENTECT the first system that...

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Autores principales:	Atıf Emre Yüksel, Sadullah Gültekin, Enis Simsar, Şerife Damla Özdemir, Mustafa Gündoğar, Salih Barkın Tokgöz, İbrahim Ethem Hamamcı
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/395b919faa6d416da49fa4a137d6ff9f
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id	oai:doaj.org-article:395b919faa6d416da49fa4a137d6ff9f
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spelling	oai:doaj.org-article:395b919faa6d416da49fa4a137d6ff9f2021-12-02T17:47:37ZDental enumeration and multiple treatment detection on panoramic X-rays using deep learning10.1038/s41598-021-90386-12045-2322https://doaj.org/article/395b919faa6d416da49fa4a137d6ff9f2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90386-1https://doaj.org/toc/2045-2322Abstract In this paper, a new powerful deep learning framework, named as DENTECT, is developed in order to instantly detect five different dental treatment approaches and simultaneously number the dentition based on the FDI notation on panoramic X-ray images. This makes DENTECT the first system that focuses on identification of multiple dental treatments; namely periapical lesion therapy, fillings, root canal treatment (RCT), surgical extraction, and conventional extraction all of which are accurately located within their corresponding borders and tooth numbers. Although DENTECT is trained on only 1005 images, the annotations supplied by experts provide satisfactory results for both treatment and enumeration detection. This framework carries out enumeration with an average precision (AP) score of 89.4% and performs treatment identification with a 59.0% AP score. Clinically, DENTECT is a practical and adoptable tool that accelerates the process of treatment planning with a level of accuracy which could compete with that of dental clinicians.Atıf Emre YükselSadullah GültekinEnis SimsarŞerife Damla ÖzdemirMustafa GündoğarSalih Barkın Tokgözİbrahim Ethem HamamcıNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Atıf Emre Yüksel Sadullah Gültekin Enis Simsar Şerife Damla Özdemir Mustafa Gündoğar Salih Barkın Tokgöz İbrahim Ethem Hamamcı Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
description	Abstract In this paper, a new powerful deep learning framework, named as DENTECT, is developed in order to instantly detect five different dental treatment approaches and simultaneously number the dentition based on the FDI notation on panoramic X-ray images. This makes DENTECT the first system that focuses on identification of multiple dental treatments; namely periapical lesion therapy, fillings, root canal treatment (RCT), surgical extraction, and conventional extraction all of which are accurately located within their corresponding borders and tooth numbers. Although DENTECT is trained on only 1005 images, the annotations supplied by experts provide satisfactory results for both treatment and enumeration detection. This framework carries out enumeration with an average precision (AP) score of 89.4% and performs treatment identification with a 59.0% AP score. Clinically, DENTECT is a practical and adoptable tool that accelerates the process of treatment planning with a level of accuracy which could compete with that of dental clinicians.
format	article
author	Atıf Emre Yüksel Sadullah Gültekin Enis Simsar Şerife Damla Özdemir Mustafa Gündoğar Salih Barkın Tokgöz İbrahim Ethem Hamamcı
author_facet	Atıf Emre Yüksel Sadullah Gültekin Enis Simsar Şerife Damla Özdemir Mustafa Gündoğar Salih Barkın Tokgöz İbrahim Ethem Hamamcı
author_sort	Atıf Emre Yüksel
title	Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
title_short	Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
title_full	Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
title_fullStr	Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
title_full_unstemmed	Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning
title_sort	dental enumeration and multiple treatment detection on panoramic x-rays using deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/395b919faa6d416da49fa4a137d6ff9f
work_keys_str_mv	AT atıfemreyuksel dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT sadullahgultekin dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT enissimsar dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT serifedamlaozdemir dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT mustafagundogar dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT salihbarkıntokgoz dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning AT ibrahimethemhamamcı dentalenumerationandmultipletreatmentdetectiononpanoramicxraysusingdeeplearning
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Dental enumeration and multiple treatment detection on panoramic X-rays using deep learning

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