£120.94

Springer Deep Learning in Healthcare: Paradigms and Applications

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Description

Explore the transformative role of artificial intelligence in the medical field with Deep Learning in Healthcare: Paradigms and Applications. Published by Springer as part of the Intelligent Systems Reference Library (171), this book offers a detailed look at how deep learning (DL) is changing medical and healthcare applications. Readers will gain a solid understanding of the fundamentals and current advances in medical image analysis. The text covers state-of-the-art DL methods and examines real-world, deep learning-based clinical computer-aided diagnosis systems. Because deep learning utilizes neural networks with many layers between input and output, it has become a key technique in both academic research and industrial sectors. This resource is designed for those looking to understand how deep structures in neural networks drive innovation in healthcare technology. Whether you are studying AI or looking at industrial applications, this volume provides the necessary overview of how these advanced algorithms function within clinical environments.

Key Features

Comprehensive overview of deep learning fundamentals and their specific use in medical and healthcare applications.

Detailed analysis of current advances and state-of-the-art methods for medical image analysis.

Examination of real-world clinical computer-aided diagnosis systems powered by deep learning technology.

In-depth look at neural network structures and the role of deep layers between input and output.

Part of the Intelligent Systems Reference Library (Volume 171) for academic and industrial study.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
27 November 2020
Listed Since
31 October 2020

Barcode

No barcode data available

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