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Classification of Brain Magnetic Resonance Images using ICA-MLP

    Pranati Satapathy Sarbeswara Hota Sanjay Kumar Jena

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICITCA-2021 5S, Pages 27-29
10.47392/irjash.2021.135

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Abstract

The central nervous system controls all the functions of the body. The brain is the vital organ of our body and it can be suffered from various diseases. In order to treat various brain diseases, the physicians use Magnetic Resonance Imaging (MRI) technique in recent days for the treatment. Manual analysis and classification of brain images into normal or deceased is a tedious task. So different supervised learning techniques are used in this purpose. In this paper, Independent Component Analysis (ICA) has been used for feature reduction and Multilayer Perceptron (MLP) has been used for classification task. The experimental study is conducted on two of the brain image datasets i.e. Glioma and Alzheimer and the results suggested that ICA-MLP produced better results than MLP.
Keywords:
    Magnetic resonance imaging Classifier Independent Deceased
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(2021). Classification of Brain Magnetic Resonance Images using ICA-MLP. International Research Journal on Advanced Science Hub, 3(Special Issue ICITCA-2021 5S), 27-29. doi: 10.47392/irjash.2021.135
Pranati Satapathy; Sarbeswara Hota; Sanjay Kumar Jena. "Classification of Brain Magnetic Resonance Images using ICA-MLP". International Research Journal on Advanced Science Hub, 3, Special Issue ICITCA-2021 5S, 2021, 27-29. doi: 10.47392/irjash.2021.135
(2021). 'Classification of Brain Magnetic Resonance Images using ICA-MLP', International Research Journal on Advanced Science Hub, 3(Special Issue ICITCA-2021 5S), pp. 27-29. doi: 10.47392/irjash.2021.135
Classification of Brain Magnetic Resonance Images using ICA-MLP. International Research Journal on Advanced Science Hub, 2021; 3(Special Issue ICITCA-2021 5S): 27-29. doi: 10.47392/irjash.2021.135
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