Novel approaches to determine age and gender from dental x-ray images by using multiplayer perceptron neural networks and image processing techniques

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dc.contributor.authorAvuçlu, Emre.
dc.contributor.authorBaşçiftçi, Fatih.
dc.date.accessioned2020-03-26T20:15:31Z
dc.date.available2020-03-26T20:15:31Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIt may be necessary to determine the identity or gender of a person for any reason (disasters, inheritance etc.). In such cases, forensic medical institutions are asked for help. Forensic science institutions try to estimate the age of people's teeth and bones. In this study, a novel algorithm was developed to keep these predictions at the highest level and to obtain definite results. The data base of 162 different tooth classes is created manually. All image sizes are 150x150 pixels. First, image preprocessing techniques have been applied to teeth images. These preprocessing techniques were first applied to teeth images. After this process, the segmentation process of the teeth images was performed to extract the feature by novel segmentation algorithm. Segmentation can be done automatically and dynamically. Numerical data obtained as a result of feature extraction from dental images is presented as an inputs to Multi layer perceptron neural network. In application, feature reduction can be performed. Thanks to the originally developed algorithm, the highest success rates were obtained with the highest 99.9% (full segment) and 100% (notfull segment) classification. After classification, for many dental groups the age estimate is performed with zero error. Application was developed as a multidisciplinary study. (C) 2019 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipSelcuk University Scientific Research Projects Coordinatorship/Konya, TurkeySelcuk Universityen_US
dc.description.sponsorshipThis work is supported by the Selcuk University Scientific Research Projects Coordinatorship/Konya, Turkey.en_US
dc.identifier.citationAvuçlu, E., Başçiftçi, F. (2019). Novel Approaches to Determine Age and Gender from Dental X-Ray Images by Using Multiplayer Perceptron Neural Networks and Image Processing Techniques. Chaos, Solitons and Fractals, 120, 127-138.
dc.identifier.doi10.1016/j.chaos.2019.01.023en_US
dc.identifier.endpage138en_US
dc.identifier.issn0960-0779en_US
dc.identifier.issn1873-2887en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage127en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.chaos.2019.01.023
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38044
dc.identifier.volume120en_US
dc.identifier.wosWOS:000459131600013en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBaşçiftçi, Fatih.
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofCHAOS SOLITONS & FRACTALSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAge estimationen_US
dc.subjectBackpropagation algorithmen_US
dc.subjectMultilayer perceptronen_US
dc.subjectPanoramic x-rayen_US
dc.subjectImage processing techniquesen_US
dc.titleNovel approaches to determine age and gender from dental x-ray images by using multiplayer perceptron neural networks and image processing techniquesen_US
dc.typeArticleen_US

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