£117.58

Springer Deep Learning in Healthcare: Paradigms and Applications

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Description

Explore the intersection of artificial intelligence and medicine with Deep Learning in Healthcare: Paradigms and Applications. Part of the Intelligent Systems Reference Library (Volume 171), this book by Springer offers a deep look into how deep learning (DL) techniques transform medical and healthcare sectors. As a key component of artificial intelligence, deep learning utilizes neural networks with multiple layers to process complex data. This text covers the fundamentals and recent progress in medical image analysis, providing a clear path through state-of-the-art DL methods. Readers will gain insights into real-world, deep learning-based clinical computer-aided diagnosis systems that are currently shaping the industry. Whether you are studying academic research or looking for industrial applications, this volume provides the technical foundation needed to understand how deep structures between input and output drive modern medical innovation.

Key Features

Comprehensive overview of deep learning fundamentals and their specific applications within the medical and healthcare industries.

Detailed coverage of current advances in medical image analysis and state-of-the-art deep learning methods.

Examination of real-world clinical computer-aided diagnosis systems based on deep learning technology.

Technical insights into neural networks with deep structures used to bridge input and output data.

Academic and industrial perspective on how artificial intelligence plays a role in modern healthcare environments.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
27 November 2019
Listed Since
03 September 2019

Barcode

No barcode data available

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