Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises: Theoretical Insights with Practical Applications (Information Systems Engineering and Management #46)

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.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9783031911477

Related ISBNs:

9783031911460

Publisher:

Springer Nature Switzerland

Date of Addition:

08/16/25

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Science, Computers and Internet, Technology, Medicine

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Abhishek Kumar

Edited by:

Fernando Ortiz-Rodriguez

Edited by:

Jose Braga De Vasconcelos

Edited by:

Pushan Kumar Dutta

Edited by:

Hemant Kumar Saini

Edited by:

Pramod Singh Rathore