Classification of Brain Tumors using Convolutional Neural Network from MR Images

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dc.authoridPolat, Ozlem/0000-0002-9395-4465
dc.authoridKarakis, Rukiye/0000-0002-1797-3461
dc.contributor.authorGungen, Cahfer
dc.contributor.authorPolat, Ozlem
dc.contributor.authorKarakis, Rukiye
dc.date.accessioned2024-10-26T17:59:53Z
dc.date.available2024-10-26T17:59:53Z
dc.date.issued2020
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description28th Signal Processing and Communications Applications Conference (SIU) -- OCT 05-07, 2020 -- ELECTR NETWORK
dc.description.abstractThe classification of brain tumors has great importance in medical applications that benefit from computer-assisted diagnosis. Misdiagnosis of brain tumor types, both prevents the patient's response to treatment effectively and reduce the chance of survival. This study proposes a solution for the classification of brain tumors using MR images. The most common brain tumors, glioma, meningioma and pituitary, are detected using convolutional neural networks. The convolutional network is trained and tested on an accessible Figshare dataset containing 3064 MR images using four different optimizers. AUC, sensitivity, specificity and accuracy are used as performance measure. The proposed method is comparable to the literature and classifies brain tumors with an average accuracy of 96.84% and a maximum accuracy of 97.75%.
dc.description.sponsorshipIstanbul Medipol Univ
dc.identifier.doi10.1109/siu49456.2020.9302090
dc.identifier.isbn978-1-7281-7206-4
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85100321582
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/siu49456.2020.9302090
dc.identifier.urihttps://hdl.handle.net/20.500.12418/27402
dc.identifier.wosWOS:000653136100064
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbrain tumors
dc.subjectbrain MR images
dc.subjectconvolutional neural network
dc.subjectclassification
dc.titleClassification of Brain Tumors using Convolutional Neural Network from MR Images
dc.typeConference Object

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