Diagnosis of Neurological Disorders based on Deep Learning Techniques  book cover
1st Edition

Diagnosis of Neurological Disorders based on Deep Learning Techniques

Edited By

Jyotismita Chaki

  • Available for pre-order on April 24, 2023. Item will ship after May 15, 2023
ISBN 9781032325231
May 15, 2023 Forthcoming by CRC Press
272 Pages 81 B/W Illustrations

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Book Description

This book is based on deep learning approaches used for the diagnosis of neurological disorders, including basics of deep learning algorithms using diagrams, data tables, and practical examples, for diagnosis of neurodegenerative and neurodevelopmental disorders. It includes application of feed-forward neural networks, deep generative models, convolutional neural networks, graph convolutional networks, and recurrent neural networks in the field of diagnosis of neurological disorders. Along with this, data pre-processing including scaling, correction, trimming, normalization is also included.

Offers a detailed description of the deep learning approaches used for the diagnosis of neurological disorders                                                                                                             

Demonstrates concepts of deep learning algorithms using diagrams, data tables, and examples for the diagnosis of neurodegenerative disorders; neurodevelopmental, and psychiatric disorders.                                                                                                                        

Helps build, train, and deploy different types of deep architectures for diagnosis                                                                                                             

Explores data pre-processing techniques involved in diagnosis                                                                                                                  

Include real-time case studies and examples


This book is aimed at graduate students and researchers in biomedical imaging and machine learning.                                                                                                          


Table of Contents

Chapter 1. Introduction to deep learning techniques for diagnosis of neurological disorders 

Jyotismita Chaki

Chapter 2. A Comprehensive Study of Data Pre-processing Techniques for Neurological Disease (NLD) Detection 

Lakshmi Priya G.G., Sabrina, Sharanya, Laasya, Sunaina, Usha,Chemmalar Selvi G.


Chapter 3. Classification of the level of Alzheimer’s disease using anatomical magnetic resonance images based on a novel deep learning structure 

Saif Al-Jumaili, Athar Al-Azzawi, Osman Nuri Uçan, Adil Deniz Duru


Chapter 4. Detection of Alzheimer’s disease stages based on Deep Learning architectures from MRI images 

Febin Antony, Dr Anita H B, Jincy A George 



Chapter 5. Analysis on Detection of Alzheimer’s using Deep Neural Network 

Keerthika C


Chapter 6. Detection and Classification of Alzheimer’s disease: A Deep Learning Approach with Predictor variables 

Deepthi K. Oommen, J. Arunnehru


Chapter 7. Classification of Brain Tumor using Optimized Deep Neural Network Models 



Chapter 8. Fully automated segmentation of brain stroke lesions using mask region-based convolutional neural network 

Emre Dandıl, Mehmet Süleyman Yıldırım


Chapter 9. Efficient Classification of Schizophrenia EEG signals using deep learning methods 

Subha D. Puthankattil, Marrapu Vynatheya, Ahsan Ali


Chapter 10. Implementation of a Deep Neural Network based framework for Actigraphy analysis and prediction of Schizophrenia 

Vijayalakshmi G V Mahesh, Alex Noel Joseph Raj, Chandraprabha R


Chapter 11. Evaluating Psychomotor Skills in Autism Spectrum Disorder through Deep Learning 

Ravi Kant Avvari

Chapter 12. Dementia Detection with Deep Networks Using Multi-Modal Image Data 

Altuğ Yiğit, Zerrin Işık, Yalın Baştanlar


Chapter 13. The importance of the Internet of Things in Neurological Disorder: A Literature Review 

Pelin Alcan





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Jyotismita Chaki, Ph.D, is an Assistant Professor in School of Computer Science and Engineering at Vellore Institute of Technology, Vellore, India. She has done her PhD (Engg) from Jadavpur University, Kolkata, India. Her research interests include: Computer Vision and Image Processing, Pattern Recognition, Medical Imaging, Artificial Intelligence and Machine learning. She has authored more than forty international conferences and journal papers. She is the author and editor of more than eight books. Currently she is the Academic editor of PLOS ONE journal (SCIE Indexed) and PeerJ Computer Science journal (SCIE Indexed). Associate editor of IET Image Processing Journal (SCIE Indexed), Array journal (Elsevier) and Machine Learning with Applications journal (Elsevier).