Computational Intelligence in Biomedical Imaging

Editors: Suzuki, Kenji (Ed.)

  • Presents computational intelligence technology uses in medical image analysis
  • Examines medical decision making based on biomedical images
  • Covers the state-of-the-art research and technologies in computational intelligence in medical decision making
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About this book

Computational Intelligence in Biomedical Imaging is a comprehensive overview of the state-of-the-art computational intelligence research and technologies in biomedical images with emphasis on biomedical decision making. Biomedical imaging offers useful information on patients’ medical conditions and clues to causes of their symptoms and diseases. Biomedical images, however, provide a large number of images which physicians must interpret. Therefore, computer aids are demanded and become indispensable in physicians’ decision making. This book discusses major technical advancements and research findings in the field of computational intelligence in biomedical imaging, for example, computational intelligence in computer-aided diagnosis for breast cancer, prostate cancer, and brain disease, in lung function analysis, and in radiation therapy. The book examines technologies and studies that have reached the practical level, and those technologies that are becoming available in clinical practices in hospitals rapidly such as computational intelligence in computer-aided diagnosis, biological image analysis, and computer-aided surgery and therapy.

About the authors

Dr. Kenji Suzuki is an Assistant Professor of Radiology at the University of Chicago. He has written over 240 papers including 95 peer-reviewed journal papers. Dr. Suzuki received his PhD in Engineering in 2001. His research interests include computer-aided diagnosis of lesions in the abdomen, thorax, and heart, medical image analysis and machine learning in medical imaging.

Table of contents (14 chapters)

  • Brain Disease Classification and Progression Using Machine Learning Techniques

    Cheng, Bo (et al.)

    Pages 3-32

  • The Role of Content-Based Image Retrieval in Mammography CAD

    Naqa, Issam El (et al.)

    Pages 33-53

  • A Novel Image-Based Approach for Early Detection of Prostate Cancer Using DCE-MRI

    Firjani, Ahmad (et al.)

    Pages 55-82

  • Computational Intelligent Image Analysis for Assisting Radiation Oncologists’ Decision Making in Radiation Treatment Planning

    Arimura, Hidetaka (et al.)

    Pages 83-103

  • Computational Anatomy in the Abdomen: Automated Multi-Organ and Tumor Analysis from Computed Tomography

    Linguraru, Marius George (et al.)

    Pages 107-139

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-1-4614-7245-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-1-4614-7244-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • ISBN 978-1-4939-4233-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Computational Intelligence in Biomedical Imaging
Editors
  • Kenji Suzuki
Copyright
2014
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4614-7245-2
DOI
10.1007/978-1-4614-7245-2
Hardcover ISBN
978-1-4614-7244-5
Softcover ISBN
978-1-4939-4233-6
Edition Number
1
Number of Pages
XV, 406
Number of Illustrations and Tables
95 b/w illustrations, 114 illustrations in colour
Topics