Determining the Location of Tibial Fracture of Dog and Cat Using Hybridized Mask R-CNN Architecture

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dc.contributor.authorBaydan, Berker
dc.contributor.authorBarışçı, Necaattin
dc.contributor.authorÜnver, Halil Murat
dc.date.accessioned2025-01-21T16:34:20Z
dc.date.available2025-01-21T16:34:20Z
dc.date.issued2021
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe aim of this study is to hybridize the original backbone structure used in the Mask R-CNN framework, and to detect fracture location in dog and cat tibia fractures faster and with higher performance. With the hybrid study, it will be ensured that veterinarians help diagnose fractures on the tibia with higher accuracy by using a computerized system. In this study, a total of 518 dog and cat fracture tibia images that obtained from universities and institutions were used. F1 score value of this study on total dataset was found to be 85.8%. F1 score value of this study on dog dataset was found to be 87.8%. F1 score value of this study on cat dataset was found to be 77.7%. With the developed hybrid system, it was determined that the localization of the fracture in an average tibia image took 2.88 seconds. The results of the study showed that the hybrid system developed would be beneficial in terms of protecting animal health by making more successful and faster detections than the original Mask R-CNN architecture.
dc.identifier.doi10.9775/kvfd.2021.25486
dc.identifier.endpage353
dc.identifier.issn1300-6045
dc.identifier.issn1309-2251
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85108668333
dc.identifier.scopusqualityQ3
dc.identifier.startpage347
dc.identifier.trdizinid447873
dc.identifier.urihttps://doi.org/10.9775/kvfd.2021.25486
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay447873
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23946
dc.identifier.volume27
dc.identifier.wosWOS:000661120500011
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherKafkas Univ, Veteriner Fakultesi Dergisi
dc.relation.ispartofKafkas Universitesi Veteriner Fakultesi Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectCat; Dog; Fracture; Hybrid; Mask R-CNN; Tibia
dc.titleDetermining the Location of Tibial Fracture of Dog and Cat Using Hybridized Mask R-CNN Architecture
dc.title.alternativeHibrit mask r-cnn mimarisi kullanılarak köpek ve kedi tibia kırık yerinin belirlenmesi
dc.typeArticle

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