Magnetic resonance imaging (MRI) is an accurate and noninvasive method employed for
the diagnosis of various kinds of diseases in medical imaging. Most of the existing systems
showed significant performances on small MRI datasets, while their performances decrease
against large MRI datasets. Hence, the goal was to design an efficient and robust
classification system that sustains a high recognition rate against large MRI dataset.
Accordingly, in this study, we have proposed the usage of a novel feature extraction …

… This article has been retracted by Hindawi, as publisher, following an investigation
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reliability or integrity of this article. … The corresponding author, as the representative of all
authors, has been given the opportunity to register their agreement or disagreement to this
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