© 2015

Signal and Image Analysis for Biomedical and Life Sciences

  • Changming Sun
  • Tomasz Bednarz
  • Tuan D. Pham
  • Pascal Vallotton
  • Dadong Wang
  • Emphasis on applications of computational models

  • Focusses on problems at the frontier of biomedical and life sciences

  • Presents a detailed description to each of the applications


Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 823)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Signal Analysis

    1. Front Matter
      Pages 1-1
    2. David K. G. Ma, Christian Stolte, Sandeep Kaur, Michael Bain, Seán I. O’Donoghue
      Pages 3-22
    3. Per Mattsson, Alexander Medvedev
      Pages 23-40
    4. Madawa Priyadarshana, Tatiana Polushina, Georgy Sofronov
      Pages 41-61
    5. Daniel Jansson, Alexander Medvedev, Hans Axelson, Dag Nyholm
      Pages 63-82
    6. Egi Hidayat, Alexander Medvedev, Karin Nordström
      Pages 83-105
    7. Akemi Nomura, Yasuko Ando, Tomohiro Yano, Yosuke Takami, Shoichiro Ito, Takako Sato et al.
      Pages 127-142
    8. Guohun Zhu, Yan Li, Peng (Paul) Wen, Shuaifang Wang
      Pages 143-157
    9. Humaira Nisar, Aamir Saeed Malik, Rafi Ullah, Seong-O Shim, Abdullah Bawakid, Muhammad Burhan Khan et al.
      Pages 159-174
  3. Image Analysis

    1. Front Matter
      Pages 175-175
    2. Rongxin Li, Dadong Wang, Changming Sun, Ryan Lagerstrom, Hai Tan, You He et al.
      Pages 177-189
    3. Tomasz Bednarz, Dadong Wang, Yulia Arzhaeva, Ryan Lagerstrom, Pascal Vallotton, Neil Burdett et al.
      Pages 191-205
    4. Ryan Lagerstrom, Katherine Holt, Yulia Arzhaeva, Leanne Bischof, Simon Haberle, Felicitas Hopf et al.
      Pages 207-226
    5. Muhammad Burhan Khan, Xue Yong Lee, Humaira Nisar, Choon Aun Ng, Kim Ho Yeap, Aamir Saeed Malik
      Pages 227-248
    6. Pankaj Kumar, Jinhai Cai, Stanley J. Miklavcic
      Pages 249-270
  4. Back Matter
    Pages 271-276

About this book


Signal and image analysis techniques are becoming more widely used in biomedical and life science applications. With an emphasis on applications of computational models for solving modern challenging problems in biomedical and life sciences, this book aims to bring collections of articles from biologists, medical/biomedical and health science researchers together with computational scientists to focus on problems at the frontier of biomedical and life sciences. The goals of this book are to build interactions of scientists across several disciplines and to help industrial users apply advanced computational techniques for solving practical biomedical and life science problems.

This book is for users in the fields of biomedical and life sciences who wish to keep abreast with the latest techniques in signal and image analysis. The book presents a detailed description to some of the applications. It can be used by those both at graduate and specialist levels.


Advanced computational techniques Biomedical applications Computational models Image processing Pattern recognition Signal and image analysis

Editors and affiliations

  • Changming Sun
    • 1
  • Tomasz Bednarz
    • 2
  • Tuan D. Pham
    • 3
  • Pascal Vallotton
    • 4
  • Dadong Wang
    • 5
  1. 1.Digital Productivity FlagshipCSIROSydneyAustralia
  2. 2.Digital Productivity FlagshipCSIROSydneyAustralia
  3. 3.The University of AizuFukushimaJapan
  4. 4.Digital Productivity FlagshipCSIROSydneyAustralia
  5. 5.Digital Productivity FlagshipCSIROSydneyAustralia

Bibliographic information

  • Book Title Signal and Image Analysis for Biomedical and Life Sciences
  • Editors Changming Sun
    Tomasz Bednarz
    Tuan D. Pham
    Pascal Vallotton
    Dadong Wang
  • Series Title Advances in Experimental Medicine and Biology
  • Series Abbreviated Title Advs Exp. Medicine, Biology
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences Biomedical and Life Sciences (R0)
  • Hardcover ISBN 978-3-319-10983-1
  • Softcover ISBN 978-3-319-35902-1
  • eBook ISBN 978-3-319-10984-8
  • Series ISSN 0065-2598
  • Series E-ISSN 2214-8019
  • Edition Number 1
  • Number of Pages XVI, 276
  • Number of Illustrations 53 b/w illustrations, 60 illustrations in colour
  • Topics Image Processing and Computer Vision
    Biomedicine, general
    Life Sciences, general
  • Buy this book on publisher's site
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