A New Method for Automatic Detection and Quantification of Dentinal Tubules

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dc.contributor.authorDuru, A.
dc.contributor.authorIleri, K.
dc.contributor.authorKarayurek, F.
dc.contributor.authorKaras, I.R.
dc.date.accessioned2024-09-29T16:21:02Z
dc.date.available2024-09-29T16:21:02Z
dc.date.issued2023
dc.departmentKarabük Üniversitesien_US
dc.description2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 -- 11 October 2023 through 13 October 2023 -- Sivas -- 194153en_US
dc.description.abstractConventional methods for calculating the number, diameter, and density of dentinal tubules in dentin-related studies rely on manual measurements, which can be time-consuming and subjective. In this paper, we propose a new software-based method for detecting and quantifying dentinal tubules using image processing techniques. We compare our proposed method with the Circle Hough Transform, a commonly used circle detection algorithm, and demonstrate the effectiveness of our approach. Our method achieves automatic and accurate detection of dentinal tubules, reducing the need for manual measurements and improving the speed and consistency of results. Our findings suggest that our proposed method has the potential to significantly enhance dentin-related research by enabling more reliable and accurate analysis of dentinal tubule characteristics. © 2023 IEEE.en_US
dc.identifier.doi10.1109/ASYU58738.2023.10296752
dc.identifier.isbn979-835030659-0
dc.identifier.scopus2-s2.0-85178295748en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/ASYU58738.2023.10296752
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9478
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcircle detectionen_US
dc.subjectcircle Hough transformen_US
dc.subjectdentin morphologyen_US
dc.subjectdentinal tubulesen_US
dc.subjectimage processingen_US
dc.subjectSEM imagesen_US
dc.titleA New Method for Automatic Detection and Quantification of Dentinal Tubulesen_US
dc.typeConference Objecten_US

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