Fuzzy Systems in Medicine

1. Front Matter

   Pages I-XVII

   PDF

2. Tutorials

   1. Front Matter

      Pages 1-1

      PDF

   2. Fuzzy Sets and Fuzzy Systems: A Brief Introduction

      • Janusz Kacprzyk

      Pages 3-30

   3. Defining Membership Functions

      • Ewa Straszecka

      Pages 32-47

   4. Membership Functions, Fuzzification and Defuzzification

      • Timothy J. Ross

      Pages 48-77

   5. Fuzzy Sets and Knowledge Representation

      • Robert John

      Pages 78-89

   6. Monotonic Fuzzy Implications

      • Michał Baczyński, Józef Drewniak

      Pages 90-111

   7. Discretization and Fuzzification of Numerical Attributes in Attribute-Based Learning

      • Ivan Bruha, Petr Berka

      Pages 112-138

   8. Fuzzy Clustering Algorithms with Applications to Rule Extraction

      • Robert Babuška

      Pages 139-173

   9. Neurofuzzy Systems

      • Witold Pedrycz

      Pages 174-203

   10. Intelligent Decision Making Systems: From Medical Diagnosis to Vocational Guidance

       • Elie Sanchez, Philippe Pierre

       Pages 204-223

3. Case Studies

   1. Front Matter

      Pages 225-225

      PDF

   2. Signal Processing

      1. Entropy and Energy Measures of Fuzziness in ECG Signal Processing

         • E. Czogala, J. Leski

         Pages 227-245

      2. Fuzzy Logic System for ECG Interpretation

         • A. Grauel

         Pages 246-260

      3. EEG Analysis for Assessment of Depth of Anaesthesia

         • Jörg Petersen, Gudrun Stockmanns, Werner Nahm

         Pages 261-277

   3. Image Processing and Interpretation

      1. Fuzzy Sets in Medical Image Processing

         • Georg Berks, Diedrich Graf v. Keyserlingk

         Pages 281-315

      2. Enhancement of Megavoltage Images in Radiation Therapy Using Fuzzy and Neural Image Processing Techniques

         • H. R. Tizhoosh, G. Krell, B. Michaelis

         Pages 316-334

      3. Fuzzy Clustering Methods for the Segmentation of Multimodal Medical Images

         • F. Masulli, A. Schenone, A. M. Massone

         Pages 335-350

      4. Fuzzy Clustering for Parametric Map Construction in Myocardial Perfusion Magnetic Resonance Images

         • Faiza Belhoul, Abdel-Ouahab Boudraa, Marc Janier, Pierre Croisille

         Pages 351-360

      5. Neuro-Fuzzy Models of Radiographic Image Classification

         • P. R. Innocent, R. I. John, M. Barnes

         Pages 361-393

Provides an introduction to the fundamental concepts of fuzziness together with a compilation of recent advances in the application to medicine. The tutorials in the first part of the book range from basic concepts through theoretical frameworks to rule simplification through data clustering methodologies and the design of multivariate rule bases through self-learning by mapping fuzzy systems onto neural network structures. The case studies which follow are representative of the wide range of applications currently pursued in relation to medicine. The majority of applications presented in this book are about bridging the gap between low-level sensor measurements and intermediate or high-level data representations. The book offers a comprehensive perspective from leading authorities world-wide and provides a tantalising glimpse into the role of sophisticated knowledge engineering methods in shaping the landscape of medical technology in the future.

• artificial intelligence
• control
• decision model
• diagnosis
• expert system
• fuzziness
• fuzzy logic
• fuzzy set
• fuzzy sets
• fuzzy system
• image processing
• knowledge base
• learning
• modeling
• neural networks

• Institute of Computer Science, Technical University of Łódź, Łódź, Poland

  Piotr S. Szczepaniak

• School of Computing and Mathematical Science, Liverpool John Moores University, Liverpool, UK

  Paulo J. G. Lisboa

• Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

  Janusz Kacprzyk

Policies and ethics