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Recent Advances in Deep Learning for Medical Image Analysis

By Yen-Wei Chen

Product Image: Recent Advances in Deep Learning for Medical Image Analysis

Recent Advances in Deep Learning for Medical Image Analysis

By Yen-Wei Chen

0 - Default Title
Description
This book is a valuable resource for understanding the transformative role of artificial intelligence in modern healthcare and aims to inspire continued research and collaboration across disciplines. In recent years, deep learning has emerged as a transformative technology across various fields, with medical image analysis standing out as one of its most impactful applications. This book offers a comprehensive overview of the latest developments in this fast-evolving domain, bridging foundational principles with state-of-the-art techniques that are redefining the future of medical imaging. This book is structured in two parts—Part I: Deep Learning Fundamentals and Paradigms and Part II: Advanced Deep Learning for Medical Image Analysis. The book provides in-depth coverage of essential topics, including convolutional neural networks, attention mechanisms, transformer architectures, multimodal analysis, semi-supervised learning, domain adaptation, generative models, and foundation models for large-scale pretraining. This book is intended for a broad audience, including graduate students, academic researchers, and industry professionals in computer science, biomedical engineering, and healthcare technologies. It serves as both an introductory guide and a reference resource for those seeking to deepen their knowledge in this rapidly evolving area.
Product details
Number of Pages:
288
Release Date:
2025-10-29
Publication Date:
2025-10-02
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031947908
ISBN13:
9783031947902
GPSR Manufacturer Reference:
[email protected]
Weight:
650 g
Height:
160 cm
Width:
241 cm
Thickness:
21 cm
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