Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry

Third International Conference, MDA 2008 Leipzig, Germany, July 14, 2008 Proceedings

  • Editors
  • Petra Perner
  • Ovidio Salvetti

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5108)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5108)

Table of contents

  1. Front Matter
  2. New Models for Immune Mechanism Diagnosis

    1. Calin Ciufudean, Otilia Ciufudean, Constantin Filote
      Pages 1-11
    2. Burcu Yılmaz, Mehmet Göktürk, Natalie Shvets
      Pages 12-26
    3. M. Khalid Khan, Mats F. Nilsson, Bengt R. Danielsson, Ewert Bengtsson
      Pages 27-37
    4. Franco Chiarugi, Sara Colantonio, Dimitra Emmanouilidou, Davide Moroni, Ovidio Salvetti
      Pages 38-51
    5. Da-Chuan Cheng, Wen-Chien Ting, Yung-Fu Chen, Qin Pu, Xiaoyi Jiang
      Pages 62-72
    6. Thang V. Pham, Connie R. Jimenez
      Pages 73-81
    7. Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn et al.
      Pages 82-94
    8. Marcello Demi, Elisabetta Bianchini, Francesco Faita, Vincenzo Gemignani
      Pages 95-107
    9. Davide Moroni, Mario Salvetti, Ovidio Salvetti
      Pages 123-138
  3. MDA 2006

    1. M. Tscherepanow, F. Zöllner, M. Hillebrand, F. Kummert
      Pages 158-172
  4. Back Matter

About these proceedings

Introduction

The automatic analysis of signals and images together with the characterization and elaboration of their representation features is still a challenging activity in many relevant scientific and hi-tech fields such as medicine, biotechnology, and chemistry. Multidimensional and multisource signal processing can generate a number of information patterns which can be useful to increase the knowledge of several domains for solving complex problems. Furthermore, advanced signal and image manipulation allows relating specific application problems into pattern recognition problems, often implying also the development of KDD and other computational intelligence procedures. Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly, signal and image understanding approaches able to generate automatically expected outputs become more and more essential, including novel conceptual approaches and system architectures. The purpose of this third edition of the International Conference on Mass Data Analysis of Signals and Images in Medicine, Biotechnology, Chemistry and Food Industry (MDA 2008; www.mda-signals.de) was to present the broad and growing scientific evidence linking mass data analysis with challenging problems in medicine, biotechnology and chemistry. Scientific and engineering experts convened at the workshop to present the current understanding of image and signal processing and interpretation methods useful for facing various medical and biological problems and exploring the applicability and effectiveness of advanced techniques as solutions.

Keywords

DNA sequencing artificial neural networks bayesian estimation bioimaging biotechnology case-based reasoning cell image analysis cellular classification color image segmentation combinatorial chemistry curve fitting data analysis data mining feature extraction image analysis

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-70715-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-70714-1
  • Online ISBN 978-3-540-70715-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book