Comparison of segmentation methods used for bone fracture images

Basit Öğe Kaydı
dc.contributor.authorButuner, S.
dc.contributor.authorAzehirli, E.
dc.date.accessioned2024-09-29T16:16:04Z
dc.date.available2024-09-29T16:16:04Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description6th International Conference on Smart City Applications -- 27 October 2021 through 29 October 2021 -- Safranbolu -- 175815en_US
dc.description.abstractThe usage of computers and software in the biomedical field has been increasing and applications for doctors, clinicians, scientists and other users have been developed in the recent times. Manual, semi-Automatic and fully automatic applications developed for bone fracture detection are one of the important studies in this field. Image segmentation, which is one of the image preprocessing steps in bone fracture detection, is an important step to obtain successful results with high accuracy. In this study, Otsu thresholding method, active contour method, k-means method, fuzzy c-mean method, Niblack thresholding method and max min thresholding range (MMTR) method are used on bone images obtained by Karabuk University Training and Research Hospital. When any filters are not applied on images to remove noises, the most successful method is obtained by K-means method based on specificity and accuracy as 89,55% and 83,31% respectively. Niblack thresholding method has the highest sensitivity result as 92,45%. © Author(s) 2021. CC BY 4.0 License.en_US
dc.identifier.doi10.5194/isprs-Archives-XLVI-4-W5-2021-137-2021
dc.identifier.endpage141en_US
dc.identifier.issn1682-1750
dc.identifier.issue4/W5-2021en_US
dc.identifier.scopus2-s2.0-85122316646en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage137en_US
dc.identifier.urihttps://doi.org/10.5194/isprs-Archives-XLVI-4-W5-2021-137-2021
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8840
dc.identifier.volume46en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInternational Society for Photogrammetry and Remote Sensingen_US
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBone Fractureen_US
dc.subjectFracture Diagnosisen_US
dc.subjectImage Processingen_US
dc.subjectSegmentation Methodsen_US
dc.subjectThresholdingen_US
dc.titleComparison of segmentation methods used for bone fracture imagesen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu