Diagnosis of Lumbar Spondylolisthesis via Convolutional Neural Networks

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dc.contributor.authorVarcin F.
dc.contributor.authorErbay H.
dc.contributor.authorCetin E.
dc.contributor.authorCetin I.
dc.contributor.authorKultur T.
dc.date.accessioned2020-06-25T15:18:06Z
dc.date.available2020-06-25T15:18:06Z
dc.date.issued2019
dc.departmentKırıkkale Üniversitesi
dc.description2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- -- 153040
dc.description.abstractSpondylolisthesis, due to bilateral defects of the posterior vertebral arch, refers to a slippage of a vertebral body over another, usually with the superior vertebral body slipping anteriorly relative to an adjacent inferior vertebral body. The most common site for spondylolisthesis is L4 or L5. As with most spinal diseases, radiological findings are the main ingredients in diagnosing spondylolisthesis. Therefore, computer-Assisted systems can be used in diagnosing spondylolisthesis when adequate experience doctors in the outpatient clinics are not present. In this paper, we looked for a solution to the problem of diagnosis of spondylolisthesis by using two well-known artificial neural networks AlexNet and GoogleLeNet. The data set consists of 272 X-ray images in total. 136 of these images belong to patients suffering from spondylolisthesis, and 136 images without spondylolisthesis. Experimental results demonstrate that GoogleLeNet is 93.87% accuracy and performs slightly better than AlexNet with an accuracy of 91.67 %. © 2019 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2019.8875988
dc.identifier.isbn9781728129327
dc.identifier.scopus2-s2.0-85074882141
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/IDAP.2019.8875988
dc.identifier.urihttps://hdl.handle.net/20.500.12587/2628
dc.identifier.wosWOS:000591781100114
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConvolutional Neural Networksen_US
dc.subjectSpondylolisthesisen_US
dc.subjectTransfer Learningen_US
dc.titleDiagnosis of Lumbar Spondylolisthesis via Convolutional Neural Networksen_US
dc.typeConference Object

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