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Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective

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Brain Informatics (BI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11976))

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Abstract

Rapid development of high speed computing devices and infrastructure along with improved understanding of deep machine learning techniques during the last decade have opened up possibilities for advanced analysis of neuroimaging data. Using those computing tools Neuroscientists now can identify Neurodegenerative diseases from neuroimaging data. Due to the similarities in disease phenotypes, accurate detection of such disorders from neuroimaging data is very challenging. In this article, we have reviewed the methodological research papers proposing to detect neurodegenerative diseases using deep machine learning techniques only from MRI data. The results show that deep learning based techniques can detect the level of disorder with relatively high accuracy. Towards the end, current challenges are reviewed and some possible future research directions are provided.

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Author information

Authors and Affiliations

  1. Institute of Information Technology, Jahangirnagar University, Dhaka, Bangladesh

    Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser & Shamim Al Mamun

  2. Department of Computing and Technology, Nottingham Trent University, Clifton, Nottingham, MG11 8NS, UK

    Mufti Mahmud

Authors
  1. Manan Binth Taj Noor
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  2. Nusrat Zerin Zenia
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  3. M. Shamim Kaiser
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  4. Mufti Mahmud
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  5. Shamim Al Mamun
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Corresponding authors

Correspondence to M. Shamim Kaiser or Mufti Mahmud .

Editor information

Editors and Affiliations

  1. Capital Normal University, Beijing, China

    Peipeng Liang

  2. York University, Toronto, ON, Canada

    Vinod Goel

  3. Shanghai University of Traditional Chinese Medicine, Shanghai, China

    Chunlei Shan

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Noor, M.B.T., Zenia, N.Z., Kaiser, M.S., Mahmud, M., Al Mamun, S. (2019). Detecting Neurodegenerative Disease from MRI: A Brief Review on a Deep Learning Perspective. In: Liang, P., Goel, V., Shan, C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science(), vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_12

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  • DOI: https://doi.org/10.1007/978-3-030-37078-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37077-0

  • Online ISBN: 978-3-030-37078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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