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Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging

  • Kenji Suzuki
  • Yisong  Chen

Part of the Intelligent Systems Reference Library book series (ISRL, volume 140)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Advanced Machine Learning in Computer-Aided Systems

  3. Computer-Aided Detection

    1. Front Matter
      Pages 85-85
    2. Menglin Jiang, Shaoting Zhang, Dimitris N. Metaxas
      Pages 111-132
  4. Computer-Aided Diagnosis

  5. Computer-Aided Prognosis

    1. Front Matter
      Pages 223-223
    2. Jie Tian, Di Dong, Zhenyu Liu, Yali Zang, Jingwei Wei, Jiangdian Song et al.
      Pages 267-333
  6. Computer-Aided Therapy and Surgery

    1. Front Matter
      Pages 335-335
    2. Fang Chen, Jia Liu, Hongen Liao
      Pages 361-387

About this book

Introduction

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.

Keywords

Medical Imaging Computational Intelligence Medical Image Analysis Computer-aided Diagnosis Medical Informatics Computerized Medical Support Medical Decision Support Systems Machine Learning Statistical Learning Deep Learning Artificial Neural Networks Support Vector Machines

Editors and affiliations

  • Kenji Suzuki
    • 1
  • Yisong  Chen
    • 2
  1. 1.Medical Imaging Research Center and Department of Electrical and Computer EngineeringIllinois Institute of TechnologyChicagoUSA
  2. 2.Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer SciencePeking UniversityBeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-68843-5
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-68842-8
  • Online ISBN 978-3-319-68843-5
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site