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2024 | OriginalPaper | Buchkapitel

A Comprehensive Review of Brain Diseases Classification Using Deep Learning Techniques

verfasst von : Lin M. Saleh Aouto, Leidi M. Saleh Aouto, Rawan Khaled Flifel, Dina M. Ibrahim

Erschienen in: Advances in Emerging Information and Communication Technology

Verlag: Springer Nature Switzerland

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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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Metadaten
Titel
A Comprehensive Review of Brain Diseases Classification Using Deep Learning Techniques
verfasst von
Lin M. Saleh Aouto
Leidi M. Saleh Aouto
Rawan Khaled Flifel
Dina M. Ibrahim
Copyright-Jahr
2024
Buch
Advances in Emerging Information and Communication Technology

Print ISBN: 978-3-031-53236-8

Electronic ISBN: 978-3-031-53237-5

Copyright-Jahr: 2024

DOI
https://doi.org/10.1007/978-3-031-53237-5_24

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