Diagnosis of epilepsy in brain MR images using DCT-means [DCT ortalamalari kullanarak beyin MR görüntülerinden epilepsi teşhisi]
dc.authorid | 0000-0003-4230-8022 | |
dc.authorid | 0000-0001-8166-1211 | |
dc.contributor.author | Yağmur, Fatma Demirezen | |
dc.contributor.author | Sertbaş, Ahmet | |
dc.date.accessioned | 2021-06-23T18:51:31Z | |
dc.date.available | 2021-06-23T18:51:31Z | |
dc.date.issued | 2018 | |
dc.department | BAİBÜ, Rektörlük, Bilgi İşlem Daire Başkanlığı | en_US |
dc.description | Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas | en_US |
dc.description | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780 | en_US |
dc.description.abstract | Epilepsy is a condition of clinical disease caused by the appearance of seizures originating from sudden electrical changes in brain cells. Magnetic Resonance Imaging (MRI) is used to understand why these seizures originate in the brain. Discrete Cosine Transform (DCT) and Arithmetic Mean method were used to extract the properties. The feature vectors were classified by using Artificial Neural Networks, and the accuracy of training was determined as 98.8% in this classification. The classification was evaluated regarding accuracy and time. © 2018 IEEE. | en_US |
dc.description.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8404758 | |
dc.identifier.doi | 10.1109/SIU.2018.8404758 | |
dc.identifier.endpage | 4 | en_US |
dc.identifier.isbn | 9781538615010 | |
dc.identifier.scopus | 2-s2.0-85050813872 | en_US |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 1 | en_US |
dc.identifier.uri | https://doi.org/10.1109/SIU.2018.8404758 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12491/3842 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Yağmur, Fatma Demirezen | |
dc.language.iso | tr | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Epilepsi | en_US |
dc.subject | Ayrık Kosinüs Dönüşümü | en_US |
dc.subject | Yapay Sinir Ağları | en_US |
dc.subject | Sınıflandırma | en_US |
dc.title | Diagnosis of epilepsy in brain MR images using DCT-means [DCT ortalamalari kullanarak beyin MR görüntülerinden epilepsi teşhisi] | en_US |
dc.type | Conference Object | en_US |
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