Overview
- Discusses the advances and future of deep learning in medicine and health care
- Includes a comprehensiveCC introduction to deep learning
- Focuses on medical imaging and computer-aided diagnosis
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 171)
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Table of contents (12 chapters)
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Front Matter
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Fundamentals of Deep Learning in Healthcare
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Front Matter
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Advanced Deep Learning in Healthcare
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Front Matter
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Application of Deep Learning in Healthcare
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Front Matter
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Back Matter
Keywords
About this book
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.
Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.
Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Editors and Affiliations
Bibliographic Information
Book Title: Deep Learning in Healthcare
Book Subtitle: Paradigms and Applications
Editors: Yen-Wei Chen, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-32606-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-32605-0Published: 27 November 2019
Softcover ISBN: 978-3-030-32608-1Published: 27 November 2020
eBook ISBN: 978-3-030-32606-7Published: 18 November 2019
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 218
Number of Illustrations: 24 b/w illustrations, 90 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Health Informatics