Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises

Abhishek Kumar

ISBN 10: 3031911466 / ISBN 13: 9783031911460

Published by Springer Verlag Gmbh Jul 2025, 2025

About this Item

This item is printed on demand - Print on Demand Titel. Neuware Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg Englisch.

Seller Inventory # 9783031911460

Bibliographic Details

• Title: Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises
• Publisher: Springer Verlag Gmbh Jul 2025
• Publication Date: 2025
• Language: English
• ISBN 10: 3031911466
• ISBN 13: 9783031911460
• Binding: Buch
• Condition: Neu

About this title

Synopsis

This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.