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Pattern Classification of Medical Images: Computer Aided Diagnosis

  • Xiao-Xia Yin
  • Sillas Hadjiloucas
  • Yanchun Zhang

Part of the Health Information Science book series (HIS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 1-26
  3. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 27-50
  4. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 51-92
  5. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 93-128
  6. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 129-163
  7. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 165-177
  8. Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
    Pages 179-182
  9. Back Matter
    Pages 183-218

About this book

Introduction

This book presents advances in biomedical imaging analysis and processing techniques using time dependent medical image datasets for computer aided diagnosis. The analysis of time-series images is one of the most widely appearing problems in science, engineering, and business. In recent years this problem has gained importance due to the increasing availability of more sensitive sensors in science and engineering and due to the wide-spread use of computers in corporations which have increased the amount of time-series data collected by many magnitudes. An important feature of this book is the exploration of different approaches to handle and identify time dependent biomedical images. Biomedical imaging analysis and processing techniques deal with the interaction between all forms of radiation and biological molecules, cells or tissues, to visualize small particles and opaque objects, and to achieve the recognition of biomedical patterns. These are topics of great importance to biomedical science, biology, and medicine. Biomedical imaging analysis techniques can be applied in many different areas to solve existing problems. The various requirements arising from the process of resolving practical problems motivate and expedite the development of biomedical imaging analysis. This is a major reason for the fast growth of the discipline.

Keywords

Feature extraction Classification Computed aided dianhosis Dynamic contract enhances magnetic resonances imaging Clustering techniques

Authors and affiliations

  • Xiao-Xia Yin
    • 1
  • Sillas Hadjiloucas
    • 2
  • Yanchun Zhang
    • 3
  1. 1.Victoria UniversityMelbourneAustralia
  2. 2.Biomedical Engineering, School of Biological SciencesUniversity of ReadingReadingUnited Kingdom
  3. 3.Victoria UniversityMelbourneAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57027-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-57026-6
  • Online ISBN 978-3-319-57027-3
  • Series Print ISSN 2366-0988
  • Series Online ISSN 2366-0996
  • Buy this book on publisher's site