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Diagnosis of Osteoarthritic Changes, Loss of Cervical Lordosis, and Disc Space Narrowing on Cervical Radiographs With Deep Learning Methods

dc.contributor.author Tokdemir, Gul
dc.contributor.author Ureten, Kemal
dc.contributor.author Atalar, Ebru
dc.contributor.author Duran, Semra
dc.contributor.author Maras, Hakan
dc.contributor.author Maras, Yuksel
dc.contributor.authorID 17411 tr_TR
dc.contributor.authorID 34410 tr_TR
dc.contributor.other 06.01. Bilgisayar Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2024-03-05T13:00:27Z
dc.date.accessioned 2025-09-18T16:07:34Z
dc.date.available 2024-03-05T13:00:27Z
dc.date.available 2025-09-18T16:07:34Z
dc.date.issued 2022
dc.description Maras, Yuksel/0000-0001-9319-0955; Duran, Semra/0000-0003-0863-2443; Tokdemir, Gul/0000-0003-2441-3056 en_US
dc.description.abstract Objectives: In this study, we aimed to differentiate normal cervical graphs and graphs of diseases that cause mechanical neck pain by using deep convolutional neural networks (DCNN) technology. Materials and methods: In this retrospective study, the convolutional neural networks were used and transfer learning method was applied with the pre-trained VGG-16, VGG-19, Resnet-101, and DenseNet-201 networks. Our data set consisted of 161 normal lateral cervical radiographs and 170 lateral cervical radiographs with osteoarthritis and cervical degenerative disc disease. Results: We compared the performances of the classification models in terms of performance metrics such as accuracy, en_US
dc.identifier.citation Maraş, Yüksel;...et.al. (2022). "Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods", Joint Diseases and Related Surgery, Vol.33, No.1, pp.93-101. en_US
dc.identifier.doi 10.52312/jdrs.2022.445
dc.identifier.issn 2687-4784
dc.identifier.issn 2687-4792
dc.identifier.scopus 2-s2.0-85127383643
dc.identifier.uri https://doi.org/10.52312/jdrs.2022.445
dc.identifier.uri https://hdl.handle.net/20.500.12416/14801
dc.language.iso en en_US
dc.publisher Turkish Joint Diseases Foundation en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Disc Space Narrowing en_US
dc.subject Osteoarthritic Changes en_US
dc.subject Transfer Learning en_US
dc.subject Cervical Radiography en_US
dc.subject Convolutional Neural Network en_US
dc.subject Deep en_US
dc.subject Learning en_US
dc.title Diagnosis of Osteoarthritic Changes, Loss of Cervical Lordosis, and Disc Space Narrowing on Cervical Radiographs With Deep Learning Methods en_US
dc.title Diagnosis of osteoarthritic changes, loss of cervical lordosis, and disc space narrowing on cervical radiographs with deep learning methods tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Maras, Yuksel/0000-0001-9319-0955
gdc.author.id Duran, Semra/0000-0003-0863-2443
gdc.author.id Tokdemir, Gul/0000-0003-2441-3056
gdc.author.institutional Tokdemir, Gül
gdc.author.institutional Maraş, Hadi Hakan
gdc.author.scopusid 23571265400
gdc.author.scopusid 24333488200
gdc.author.scopusid 6507776586
gdc.author.scopusid 9275101400
gdc.author.scopusid 7006631356
gdc.author.scopusid 56875440000
gdc.author.wosid Duran, Semra/Hge-0891-2022
gdc.author.wosid Atalar, Ebru/Jcd-5463-2023
gdc.author.wosid Maras, Hakan/G-1236-2017
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Maras, Yuksel; Atalar, Ebru] Ankara City Hosp, Dept Rheumatol, Ankara, Turkey; [Tokdemir, Gul; Maras, Hakan] Cankaya Univ, Fac Engn, Dept Comp Engn, Ankara, Turkey; [Ureten, Kemal] Kirikkale Univ, Fac Med, Dept Rheumatol, Kirikkale, Turkey; [Duran, Semra] Ankara City Hosp, Dept Radiol, Ankara, Turkey en_US
gdc.description.endpage 101 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 93 en_US
gdc.description.volume 33 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q3
gdc.identifier.openalex W4221074943
gdc.identifier.pmid 35361083
gdc.identifier.wos WOS:000778960800011
gdc.openalex.fwci 1.33196844
gdc.openalex.normalizedpercentile 0.73
gdc.opencitations.count 5
gdc.plumx.crossrefcites 4
gdc.plumx.mendeley 17
gdc.plumx.pubmedcites 8
gdc.plumx.scopuscites 11
gdc.scopus.citedcount 11
gdc.wos.citedcount 11
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