Computational Intelligence in Biomedical Imaging

  • Kenji Suzuki

Table of contents

  1. Front Matter
    Pages i-xv
  2. Decision Support

    1. Front Matter
      Pages 1-1
    2. Bo Cheng, Chong-Yaw Wee, Manhua Liu, Daoqiang Zhang, Dinggang Shen
      Pages 3-32
    3. Issam El Naqa, Yongyi Yang
      Pages 33-53
    4. Ahmad Firjani, Fahmi Khalifa, Ahmad Elnakib, Georgy Gimel’farb, Mohammed Abou El-Ghar, Adel Elmaghraby et al.
      Pages 55-82
    5. Hidetaka Arimura, Taiki Magome, Genyu Kakiuchi, Jumpei Kuwazuru, Asumi Mizoguchi
      Pages 83-103
  3. Computational Anatomy

    1. Front Matter
      Pages 105-105
    2. Hieu Trung Huynh, Ibrahim Karademir, Aytekin Oto, Kenji Suzuki
      Pages 141-157
    3. T. Hayashi, H. Chen, K. Miyamoto, X. Zhou, T. Hara, H. Fujita
      Pages 159-184
    4. Neil Birkbeck, Michal Sofka, Timo Kohlberger, Jingdan Zhang, Jens Wetzl, Jens Kaftan et al.
      Pages 185-208
  4. Image Processing and Analysis

  5. Back Matter
    Pages 399-406

About this book


This book provides 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.


artificial neural networks biomedical imaging computational intelligence computer-aided diagnosis computer-aided surgery computerized medical support machine learning medical decision making medical image analysis medical informatics support vector machines

Editors and affiliations

  • Kenji Suzuki
    • 1
  1. 1.Department of RadiologyUniversity of ChicagoChicagoUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4614-7244-5
  • Online ISBN 978-1-4614-7245-2
  • Buy this book on publisher's site