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Early Diagnosis of Alzheimer’s Disease from MRI Images Using Scattering Wavelet Transforms (SWT)

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Soft Computing and its Engineering Applications (icSoftComp 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1572))

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Abstract

Alzheimer disease (AD) is an incurable, irreversible brain disorder. It impairs thinking capacity and memory loss. Computer-aided diagnosis techniques with image retrieval have developed a new potential in magnetic resonance imaging, which helps to retrieve relevant images and train to detect AD and its stages. Recently, advanced machine learning techniques have successfully exhibited high scale performances in numerous fields. This paper proposed four machine learning techniques such as Support Vector Machine (SVM), K-Nearest Neighbour (K-NN), Naïve Bayes, and Decision Tree using Brain MRI to identify AD stages. The models encompassed scattering wavelet transform for extracting the relevant features from MRI. While most of the existing techniques focus on binary classification, the current work focused on multi-class classification by classifying the stages of Alzheimer disease, namely healthy controls, very mild AD, mild AD and moderate. The SVM classifiers obtained a superior performance with an average accuracy of 98.10% in diagnosing the early stages of AD for the early onset category.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani, Chennai, Tamilnadu, India

    Deepthi Oommen & J. Arunnehru

Authors
  1. Deepthi Oommen
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  2. J. Arunnehru
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Correspondence to Deepthi Oommen .

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Editors and Affiliations

  1. Charotar University of Science and Technology, Changa, Anand, India

    Kanubhai K. Patel

  2. CEPT University, Ahmedabad, India

    Gayatri Doctor

  3. Charotar University of Science and Technology, Changa, Anand, India

    Atul Patel

  4. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

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Oommen, D., Arunnehru, J. (2022). Early Diagnosis of Alzheimer’s Disease from MRI Images Using Scattering Wavelet Transforms (SWT). In: Patel, K.K., Doctor, G., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2021. Communications in Computer and Information Science, vol 1572. Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_20

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  • DOI: https://doi.org/10.1007/978-3-031-05767-0_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-05766-3

  • Online ISBN: 978-3-031-05767-0

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