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Springer - GANs for Data Augmentation in Healthcare Book

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Description

Expand your knowledge in the field of artificial intelligence with GANs for Data Augmentation in Healthcare. Published by Springer, this book provides a specialized look at how Generative Adversarial Networks can be applied to medical data challenges. As machine learning becomes a standard part of modern medicine, the need for high-quality, diverse datasets grows. This resource addresses the complexities of data scarcity in clinical settings by exploring augmentation techniques. It is designed for readers interested in the intersection of computer science and medical technology. Whether you are studying AI or working within the healthcare sector, this text offers a focused perspective on using advanced computational models to improve data availability. This Springer publication serves as a technical resource for those navigating the evolving landscape of AI and machine learning in professional healthcare environments.

Key Features

Focuses on the application of GANs specifically for healthcare data augmentation needs.

Published by Springer, a recognized name in professional and technical literature.

Covers advanced topics within the AI and machine learning domains.

Columbia Sportswear

Provides technical insights into solving data scarcity through generative models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
14 November 2023
Listed Since
28 July 2023

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