Pattern Recognition and Signal Analysis in Medical Imaging
eBook - ePub

Pattern Recognition and Signal Analysis in Medical Imaging

  1. 466 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Pattern Recognition and Signal Analysis in Medical Imaging

About this book

Medical imaging is one of the heaviest funded biomedical engineering research areas. The second edition of Pattern Recognition and Signal Analysis in Medical Imaging brings sharp focus to the development of integrated systems for use in the clinical sector, enabling both imaging and the automatic assessment of the resultant data. Since the first edition, there has been tremendous development of new, powerful technologies for detecting, storing, transmitting, analyzing, and displaying medical images. Computer-aided analytical techniques, coupled with a continuing need to derive more information from medical images, has led to a growing application of digital processing techniques in cancer detection as well as elsewhere in medicine. This book is an essential tool for students and professionals, compiling and explaining proven and cutting-edge methods in pattern recognition for medical imaging. - New edition has been expanded to cover signal analysis, which was only superficially covered in the first edition - New chapters cover Cluster Validity Techniques, Computer-Aided Diagnosis Systems in Breast MRI, Spatio-Temporal Models in Functional, Contrast-Enhanced and Perfusion Cardiovascular MRI - Gives readers an unparalleled insight into the latest pattern recognition and signal analysis technologies, modeling, and applications

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Yes, you can access Pattern Recognition and Signal Analysis in Medical Imaging by Anke Meyer-Baese,Volker J. Schmid in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Logic in Mathematics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Foreword
  7. Preface
  8. Acknowledgements
  9. List of Symbols
  10. 1: Introduction
  11. 2: Feature Selection and Extraction
  12. 3: Subband Coding and Wavelet Transform
  13. 4: The Wavelet Transform in Medical Imaging
  14. 5: Genetic Algorithms
  15. 6: Statistical and Syntactic Pattern Recognition
  16. 7: Foundations of Neural Networks
  17. 8: Transformation and Signal-Separation Neural Networks
  18. 9: Neuro-Fuzzy Classification
  19. 10: Specialized Neural Networks Relevant to Bioimaging
  20. 11: Spatio-Temporal Models in Functional and Perfusion Imaging
  21. 12: Analysis of Dynamic Susceptibility Contrast MRI Time-Series Based on Unsupervised Clustering Methods
  22. 13: Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI
  23. Glossary
  24. References
  25. Index