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RETRACTED ARTICLE: Brain image classification by the combination of different wavelet transforms and support vector machine classification

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This article was retracted on 01 June 2022

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Abstract

The human brain is the primary organ, and it is located in the centre of the nervous system in the human body. The abnormal cells in the brain are known as a brain tumor. The tumor in the brain does not spread to the other parts of the human body. Early diagnosis of brain tumor is required. In this work, an efficient technique is presented for magnetic resonance imaging (MRI) brain image classification using different wavelet transforms like discrete wavelet transform (DWT), stationary wavelet transform (SWT) and dual tree M-band wavelet transform (DMWT) for feature extraction and selection of coefficients and support vector machine classifier is used for classification. The normal and abnormal MRI brain image features are decomposed by DWT, SWT and DMWT. The coefficients of sub-bands are selected by rank features for the classification. Results show that DWT, SWT and DMWT produce 98% accuracy for the MRI brain classification system.

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Authors and Affiliations

  1. ECE Department, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India

    Shailendra Kumar Mishra & V. Hima Deepthi

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  1. Shailendra Kumar Mishra
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  2. V. Hima Deepthi
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Correspondence to Shailendra Kumar Mishra.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04016-3

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Mishra, S.K., Deepthi, V.H. RETRACTED ARTICLE: Brain image classification by the combination of different wavelet transforms and support vector machine classification. J Ambient Intell Human Comput 12, 6741–6749 (2021). https://doi.org/10.1007/s12652-020-02299-y

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  • DOI: https://doi.org/10.1007/s12652-020-02299-y

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