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dc.contributor.authorReis, Hatice Catal
dc.contributor.authorBayram, Bulent
dc.date.accessioned2024-05-07T07:38:36Z
dc.date.available2024-05-07T07:38:36Z
dc.date.issuedDEC 2023en_US
dc.identifier.citation@article{ WOS:001200345800001, Author = {Reis, Hatice Catal and Bayram, Bulent}, Title = {An Automatic Approach for Bone Tumor Detection from Non-Standard CT Images}, Journal = {INGENIERIA E INVESTIGACION}, Year = {2023}, Volume = {43}, Number = {3}, Month = {DEC}, DOI = {10.15446/ing.investig.90748}, Article-Number = {e90748}, ISSN = {0120-5609}, EISSN = {2248-8723}, ORCID-Numbers = {CATAL REIS, Hatice/0000-0003-2696-2446}, Unique-ID = {WOS:001200345800001}, }en_US
dc.identifier.issn0120-5609
dc.identifier.issn2248-8723
dc.identifier.urihttps://www.webofscience.com/wos/woscc/full-record/WOS:001200345800001
dc.identifier.urihttps://revistas.unal.edu.co/index.php/ingeinv/article/view/90748
dc.identifier.urihttps://hdl.handle.net/20.500.12440/6235
dc.description.abstractImage processing techniques are applied in many fields of science. This study aims to detect tumors in the foot and create 3D models via computed tomography (CT), as well as to produce biometric data. 1 039 CT images were obtained from a server. The parameters used were a collimation of 64 detectors, a scanning thickness of 0,5-3 mm, and a pixel size of 512 x 512, with a radiometric resolution of the 16-bit gray levels. Noise reduction, segmentation, and morphological analysis were performed on CT scans to detect bone tumors. In addition, this study used digital image processing techniques to create a virtual three-dimensional (3D) model of bone tumors. The performance of our proposal was evaluated by analyzing the receptor operating characteristics (ROC). According to the results, the sensitivity, specificity, and precision in tumor detection were 0,96, 1, and 0,98%, respectively, with a 0,99% average F-measure. Radiologist reports were used for the sake of comparison. The proposed technique for detecting bone tumors of the foot via CT can help radiologists with its increased precision, sensitivity, specificity, and F-measure. This method could improve the diagnosis of foot and ankle tumors by allowing for the multidirectional quantification of abnormalities.en_US
dc.language.isoengen_US
dc.publisherUNIV NAC COLOMBIA, FAC INGENIERIAen_US
dc.relation.ispartofINGENIERIA E INVESTIGACIONen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCTen_US
dc.subjectmedical image processingen_US
dc.subjectregion-growing algorithmen_US
dc.subjectbone tumoren_US
dc.subject3Den_US
dc.titleAn Automatic Approach for Bone Tumor Detection from Non-Standard CT Imagesen_US
dc.typearticleen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.description.wospublicationid001200345800001en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Harita Mühendisliği Bölümüen_US
dc.authorid0000-0003-2696-2446en_US
dc.identifier.volume43en_US
dc.identifier.issue3en_US
dc.contributor.institutionauthorCatal Reis, Hatice
dc.identifier.doi10.15446/ing.investig.90748en_US
dc.authorwosidJ-8592-2017en_US
dc.authorscopusid57192666861en_US
dc.description.wosqualityQ4en_US


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