Deep Learning Assessment of Neurological Imaging
Published on 9. April 2026
350 pages
978-0-443-30292-3 (ISBN)
Description
Deep Learning Assessment of Neurological Imaging provides an introduction to deep learning structures and pre-processing methods for detecting MRI anomalies. The book also provides a comprehensive accounting of deep learning research on MRI images for Alzheimer's disease, Parkinson's disease, and schizophrenia, and includes a discussion on current research issues and future objectives. This book is a valuable resource to guide new entrants in the field, helping them make a meaningful impact in their development efforts. The book concludes with a brief overview of problems and potential future advancements in the field.
- Introduces Deep Learning structures and pre-processing methods for detecting MRI anomalies
- Discusses current research issues and future research objectives
- Compares a new method using open-access benchmark datasets using Deep Learning on MRI images to detect and classify Alzheimer's Disease, Parkinson's Disease, and Schizophrenia
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Other editions
Additional editions
Tripti Goel | M. Tanveer | Amir Hussain
Deep Learning Assessment of Neurological Imaging
Book
04/2026
Academic Press
€175.50
Shipment within 15-20 days
Content
1. Graph convolutional networks for diagnosis of Alzheimer's disease: A review2. Introduction to Deep Learning Algorithms3. Application of Deep Learning for Brain Tumors.4. Application of Deep Learning for Parkinson's Disease.5. Predicting Biological Age of the Brain using Magnetic Resonance Imaging and Deep Learning Methods6. Artificial Intelligence in Schizophrenia Detection: A Comparative Review of Machine Learning and Deep Learning Approaches7. Ensemble of deep learning Algorithms for neurological disorders8. A Framework for Characterizing Brain Iron Concentration in Neurodegenerative disease using Quantitative Susceptibility Mapping9. Application of Deep Learning for Brain Stroke Diagnosis10. Advanced Entropy Feature Engineering Using EMD and VMD for Schizophrenia Classification11. Issues and Challenges of Neurological Disorders Diagnosis Research12. Opportunities and Future Directions of Neurological Disorders Diagnosis Research13. Neurology beyond Deep Learning
