Overview
- Presents a comprehensive overview of the state of the art in artificial intelligence for medical-image-based diagnosis and treatment
- Demonstrates that intelligent technologies have now reached the practical level and are rapidly becoming available in clinical practices in hospitals
- Medical imaging offers essential information on patients medical condition
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 140)
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Table of contents (13 chapters)
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Advanced Machine Learning in Computer-Aided Systems
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Computer-Aided Detection
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Computer-Aided Diagnosis
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Computer-Aided Therapy and Surgery
Keywords
About this book
Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment.
Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.Editors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
Editors: Kenji Suzuki, Yisong Chen
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-68843-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-68842-8Published: 29 January 2018
Softcover ISBN: 978-3-319-88666-4Published: 06 June 2019
eBook ISBN: 978-3-319-68843-5Published: 09 January 2018
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XXI, 387
Number of Illustrations: 44 b/w illustrations, 96 illustrations in colour
Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Artificial Intelligence, Imaging / Radiology