Diagnosis of epilepsy in brain MR images using DCT-means [DCT ortalamalari kullanarak beyin MR görüntülerinden epilepsi teşhisi]
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Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
Anahtar Kelimeler
Epilepsi, Ayrık Kosinüs Dönüşümü, Yapay Sinir Ağları, Sınıflandırma
Kaynak
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
WoS Q Değeri
Scopus Q Değeri
N/A
