Editors:
- 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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Front Matter
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Advanced Machine Learning in Computer-Aided Systems
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Front Matter
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Computer-Aided Diagnosis
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Front Matter
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Computer-Aided Therapy and Surgery
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Front Matter
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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
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Medical Imaging Research Center and Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA
Kenji Suzuki
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Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, Beijing, China
Yisong Chen
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