Segmentation of Teeth Region via Machine Learning in Panoramic X-Ray Dental Images

Basit Öğe Kaydı
dc.authoridOrhan, Kaan/0000-0001-6768-0176
dc.contributor.authorGüven, Ali
dc.contributor.authorYetik, İmam Şamil
dc.contributor.authorÇulhaoğlu, Ahmet
dc.contributor.authorOrhan, Kaan
dc.contributor.authorKılıçarslan, Mehmet
dc.date.accessioned2025-01-21T16:33:05Z
dc.date.available2025-01-21T16:33:05Z
dc.date.issued2020
dc.departmentKırıkkale Üniversitesi
dc.description28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK
dc.description.abstractSegmentation of teeth region from the dental panoramic X-Ray images is an important task in determining various diseases. The main goal of this article is to be able to automatically segment the region of teeth in panoramic x-ray images. First, the center point of the teeth area in the images was determined automatically. Then, a feature set was developed including intensity values of pixels, x-coordinate relative to this center point, y-coordinate relative to this point, and the pixel values obtained by subtraction of maximum and minimum values in 3x3 window. CatBoost algorithm was used for machine learning. When creating the machine learning model, k-fold cross validation of training data set and grid search optimization of hyper parameters, were applied to avoid over fitting of data set. The results were analyzed using the learning curve, F1, accuracy, recall, and precision scores.
dc.description.sponsorshipIstanbul Medipol Univ
dc.identifier.doi10.1109/siu49456.2020.9302520
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.urihttps://doi.org/10.1109/siu49456.2020.9302520
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23718
dc.identifier.wosWOS:000653136100492
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectdental panoramic X-Ray images; machine learning; image processing; image segmentation; teeth segmentation
dc.titleSegmentation of Teeth Region via Machine Learning in Panoramic X-Ray Dental Images
dc.typeConference Object

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