Artificial Neural Networks in Medicine and Biology

Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13–16 May 2000

  • Helge Malmgren
  • Magnus Borga
  • Lars Niklasson
Conference proceedings

DOI: 10.1007/978-1-4471-0513-8

Part of the Perspectives in Neural Computing book series (PERSPECT.NEURAL)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Invited Presentations

    1. Front Matter
      Pages 1-1
    2. Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
      Pages 3-9
    3. Gail A. Carpenter, Boriana L. Milenova
      Pages 10-17
    4. Georg Dorffner, Peter Sykacek, Christian Schittenkopf
      Pages 18-25
    5. Anders Lansner, Anders Sandberg, Karl Magnus Petersson, Martin Ingvar
      Pages 54-62
    6. P. J. G. Lisboa, A. Vellido, H. Wong
      Pages 63-71
  3. Medical Image Analysis

    1. Front Matter
      Pages 73-73
    2. Kuo-Sheng Cheng, Richard Sun, Nan-Haw Chow
      Pages 75-80
    3. Andrew Hunter, James Lowell, Jonathan Owens, Lee Kennedy, David Steele
      Pages 81-86
    4. Andreas Järund, Lars Edenbrandt, Mattias Ohlsson, Erik Borälv
      Pages 87-92
    5. Ross J Maxwell, John Wilson, Gillian M Tozer, Paul R Barber, Borivoj Vojnovic
      Pages 93-98
    6. Camille Serruys, Djamel Brahmi, Alain Giron, Nathalie Cassoux, Raoul Triller, Phuc Le Huang et al.
      Pages 105-110
    7. Changjing Shang, Craig Daly, John McGrath, John Barker
      Pages 111-116
  4. Signal Processing in Medicine

    1. Front Matter
      Pages 117-117
    2. Theodoras Assimakopoulos, Kyra Dingli, Neil J. Douglas
      Pages 119-124

About these proceedings

Introduction

This book contains the proceedings of the conference ANNIMAB-l, held 13-16 May 2000 in Goteborg, Sweden. The conference was organized by the Society for Artificial Neural Networks in Medicine and Biology (ANNIMAB-S), which was established to promote research within a new and genuinely cross-disciplinary field. Forty-two contributions were accepted for presentation; in addition to these, S invited papers are also included. Research within medicine and biology has often been characterised by application of statistical methods for evaluating domain specific data. The growing interest in Artificial Neural Networks has not only introduced new methods for data analysis, but also opened up for development of new models of biological and ecological systems. The ANNIMAB-l conference is focusing on some of the many uses of artificial neural networks with relevance for medicine and biology, specifically: • Medical applications of artificial neural networks: for better diagnoses and outcome predictions from clinical and laboratory data, in the processing of ECG and EEG signals, in medical image analysis, etc. More than half of the contributions address such clinically oriented issues. • Uses of ANNs in biology outside clinical medicine: for example, in models of ecology and evolution, for data analysis in molecular biology, and (of course) in models of animal and human nervous systems and their capabilities. • Theoretical aspects: recent developments in learning algorithms, ANNs in relation to expert systems and to traditional statistical procedures, hybrid systems and integrative approaches.

Keywords

3D Clustering artificial intelligence artificial neural network classification data analysis image analysis information processing knowledge discovery machine learning medical image analysis optimization therapy uncertainty

Editors and affiliations

  • Helge Malmgren
    • 1
  • Magnus Borga
    • 2
  • Lars Niklasson
    • 3
  1. 1.Department of PhilosophyGöteborg UniversityGöteborgSweden
  2. 2.Department of Electrical EngineeringLinköping UniversityLinköpingSweden
  3. 3.Department of Computer ScienceUniversity of SkövdeSkövdeSweden

Bibliographic information

  • Copyright Information Springer-Verlag London Limited 2000
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-85233-289-1
  • Online ISBN 978-1-4471-0513-8
  • Series Print ISSN 1431-6854