Accurate brain tumor detection using deep convolutional neural network
Islam Khan Md. Saikat; Rahman Anichur; Debnath Tanoy; Karim Md. Razaul; Nasir Mostofa Kamal; Band Shahab S.; Mosavi Amir; Dehzangi Iman
MTMT : 33079065
Date : 2022
Journal title : Computational And Structural Biotechnology Journal
Journal volume : 20
Pages : 4733-4745
Document type : folyóiratcikk
Subject : brain tumor, magnetic reasoning imaging, computer-assisted diagnosis, convolutional neural network, data augmentation, Természettudományok, Elméleti orvostudományok
Abstract :
Detection of relationship between two time series is so important in different scientific fields. Most common techniques are usually sensitive to stationarity or normality assumptions. In this research, a new copula-based method (cyclocopula) is introduced to detect the relationship between two cylostationary time series with fractional Brownian motion (fBm) errors. The performance of the proposed method is studied by employing numerous simulated datasets. The applicability of the introduced approach is also investigated in real-world problems. The numerical and applied studies verify the performance of the introduced technique.