£135.53

Springer Recent Advances in Deep Learning for Medical Image Analysis

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Description

Explore the latest developments in computational medicine with Recent Advances in Deep Learning for Medical Image Analysis: Paradigms and Applications. Published by Springer as part of the Intelligent Systems Reference Library (Volume 278), this book provides a comprehensive look at how deep learning models are transforming the field of medical imaging. This volume serves as a specialized resource for researchers and professionals working at the intersection of artificial intelligence and healthcare. By examining current paradigms and practical applications, the text addresses the evolving landscape of medical image analysis. It is designed to support academic study and professional development for those focusing on computer science, AI, and machine learning within a clinical context. Whether you are studying intelligent systems or implementing new algorithms, this publication offers a structured approach to understanding modern deep learning methodologies in medical settings.

Key Features

Part of the Intelligent Systems Reference Library, volume 278, ensuring a high standard of academic and technical quality.

Focuses on recent advances in deep learning specifically tailored for the complexities of medical image analysis.

Covers various paradigms and practical applications to bridge the gap between theory and real-world medical use.

Published by Springer, a leading name in scientific, technical, and medical literature.

Designed for readers interested in the intersection of computer science, AI, and machine learning applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 October 2025
Listed Since
25 April 2025

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