Yağmur, Fatma DemirezenSertbaş, Ahmet2021-06-232021-06-2320189781538615010https://doi.org/10.1109/SIU.2018.8404758https://hdl.handle.net/20.500.12491/3842Aselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780Epilepsy 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.trinfo:eu-repo/semantics/closedAccessEpilepsiAyrık Kosinüs DönüşümüYapay Sinir AğlarıSınıflandırmaConference Object10.1109/SIU.2018.8404758142-s2.0-85050813872N/A