Multi-Class Classification of Alzheimer's/Dementia using Deep Learning | Advanced Deep Learning Techniques for Early Detection of Alzheimer's and Dementia via Multi-Class Classification

Neetha P. U. (u. a.)

ISBN 10: 6208435390 / ISBN 13: 9786208435394

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Multi-Class Classification of Alzheimer's/Dementia using Deep Learning | Advanced Deep Learning Techniques for Early Detection of Alzheimer's and Dementia via Multi-Class Classification | Neetha P. U. (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208435394 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 132433371

Bibliographic Details

• Title: Multi-Class Classification of Alzheimer's/Dementia using Deep Learning | Advanced Deep Learning Techniques for Early Detection of Alzheimer's and Dementia via Multi-Class Classification
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208435390
• ISBN 13: 9786208435394
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 244 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book explores Deep Learning strategies to overcome the challenges of Class Imbalance, Multi-Class Classification, and Multi-Modality Issues in Alzheimer's Disease and Dementia diagnosis. It introduces optimized neural models with better data enhancement techniques to improve the classification accuracy, supporting early and precise detection using MRI, PET, Genetical and Clinical data.This book serves as a detailed guide for researchers, data scientists, and healthcare experts focusing on AI-based Alzheimer’s detection. It offers insights into building advanced, efficient, and scalable diagnostic models for neurodegenerative diseases, helping improve accuracy and reliability in early diagnosis.