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A Comprehensive Review of Brain Diseases Classification Using Deep Learning Techniques

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Advances in Emerging Information and Communication Technology (ICIEICT 2023)

Part of the book series: Signals and Communication Technology ((SCT))

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Abstract

Brains are complex. This organ stores our knowledge, interprets our senses, moves our bodies, and governs our thoughts, emotions, memories, vision, touch, respiration, hunger, body temperature, motor skills, and every other bodily action. To help doctors, we studied and reviewed the most frequent and difficult disorders. The study will focus on using artificial intelligence to diagnose epilepsy, dementia, Parkinson’s disease, and brain tumors. In this paper, we demonstrated how AI approaches can be used in the diagnostic process for a number of prevalent brain diseases and disorders. These include brain tumors, epilepsy, and dementia, particularly the Alzheimer’s disease stage and Parkinson’s disease. The most common dataset sources used in brain research, brain imaging modalities, and neuropsychological tests are then described and separated into open-access and private dataset categories. The most popular performance measures are discussed at the end of this work.

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Authors and Affiliations

  1. Department of Information Technology, College of Computer, Qassim University, Buraydah, Saudi Arabia

    Lin M. Saleh Aouto, Leidi M. Saleh Aouto, Rawan Khaled Flifel & Dina M. Ibrahim

  2. Department of Computers and Control Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

    Dina M. Ibrahim

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  1. Lin M. Saleh Aouto
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  2. Leidi M. Saleh Aouto
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  3. Rawan Khaled Flifel
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  4. Dina M. Ibrahim
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Correspondence to Lin M. Saleh Aouto .

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Editors and Affiliations

  1. Najran University, Najran, Saudi Arabia

    Asadullah Shaikh

  2. Najran University, Najran, Saudi Arabia

    Abdullah Alghamdi

  3. School of Computer and Information Systems, Faculty of Science and Technology, Athabasca University, Athabasca, AB, Canada

    Qing Tan

  4. Department of Information Science, King Abdulaziz University, Jeddah, Saudi Arabia

    Ibrahiem M. M. El Emary

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Aouto, L.M.S., Aouto, L.M.S., Flifel, R.K., Ibrahim, D.M. (2024). A Comprehensive Review of Brain Diseases Classification Using Deep Learning Techniques. In: Shaikh, A., Alghamdi, A., Tan, Q., El Emary, I.M.M. (eds) Advances in Emerging Information and Communication Technology. ICIEICT 2023. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53237-5_24

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