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

Name: Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises
Brand: Springer Nature Switzerland
Availability: OutOfStock
Rating: 5 (1 reviews)

By Abhishek Kumar

0 - Default Title

Description

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.

Product details

Number of Pages:: 428
Release Date:: 2025-07-16
Publication Date:: 2025-07-16
Publisher:: Springer Nature Switzerland
Languages:: Original: English
ISBN10:: 3031911466
ISBN13:: 9783031911460
GPSR Manufacturer Reference:: [email protected]
Weight:: 803 g
Height:: 160 cm
Width:: 241 cm
Thickness:: 29 cm

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