A Robust Algorithm for Classification and Diagnosis of Brain Disease Using Local Linear Approximation and Generalized Autoregressive Conditional Heteroscedasticity Model

A Robust Algorithm for Classification and Diagnosis of Brain Disease Using Local Linear Approximation and Generalized Autoregressive Conditional Heteroscedasticity Model

Regions detection has an influence on the better treatment of brain tumors. Existing algorithms in the early detection of tumors are difficult to diagnose reliably. In this paper, we introduced a new robust algorithm using three methods for the classification of brain disease. The first method is Wa...

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Bibliographic Details
Main Authors: Ali Hamzenejad, Saeid Jafarzadeh Ghoushchi, Vahid Baradaran, Abbas Mardani
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Mathematics
Subjects:
Magnetic resonance imaging (MRI)
wavelet transform
GARCH
LLA
LDA
KNN
Online Access:https://www.mdpi.com/2227-7390/8/8/1268

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