Intelligent Systems Reference Library

Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

Editors: Suzuki, Kenji, Chen, Yisong (Eds.)

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  • 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
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eBook $109.00
price for USA in USD
  • ISBN 978-3-319-68843-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $199.99
price for USA in USD
Softcover $139.99
price for USA in USD
About this book

This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world.

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.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Multi-modality Feature Learning in Diagnoses of Alzheimer’s Disease

    Pages 3-30

    Zhang, Daoqiang (et al.)

  • A Comparative Study of Modern Machine Learning Approaches for Focal Lesion Detection and Classification in Medical Images: BoVW, CNN and MTANN

    Pages 31-58

    Tajbakhsh, Nima (et al.)

  • Introduction to Binary Coordinate Ascent: New Insights into Efficient Feature Subset Selection for Machine Learning

    Pages 59-83

    Zarshenas, Amin (et al.)

  • Automated Lung Nodule Detection Using Positron Emission Tomography/Computed Tomography

    Pages 87-110

    Teramoto, Atsushi (et al.)

  • Detecting Mammographic Masses via Image Retrieval and Discriminative Learning

    Pages 111-132

    Jiang, Menglin (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-68843-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • Immediate eBook download after purchase and usable on all devices
  • Bulk discounts available
Hardcover $199.99
price for USA in USD
Softcover $139.99
price for USA in USD
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Bibliographic Information

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
Series Volume
140
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-68843-5
DOI
10.1007/978-3-319-68843-5
Hardcover ISBN
978-3-319-68842-8
Softcover ISBN
978-3-319-88666-4
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XXI, 387
Number of Illustrations
44 b/w illustrations, 96 illustrations in colour
Topics