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

Abhishek Kumar

ISBN 10: 3031911466 / ISBN 13: 9783031911460

Edité par Springer, Berlin, Springer Nature Switzerland, Springer, 2025

A propos de cet article

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 464 pp. Englisch.

N° de réf. du vendeur 9783031911460

Détails bibliographiques

• Titre: Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises
• Éditeur: Springer, Berlin, Springer Nature Switzerland, Springer
• Date de parution: 2025
• Langue: anglais
• ISBN à 10 chiffres: 3031911466
• ISBN à 13 chiffres: 9783031911460
• Reliure: Buch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 35 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 35 millimètres de profondeur

A propos de ce titre

Synopsis

mso-bidi-language: AR-SA;">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.