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Health Information Science

Pattern Classification of Medical Images: Computer Aided Diagnosis

Authors: Yin, Xiao-Xia, Hadjiloucas, Sillas, Zhang, Yanchun

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  • Provides a brief account of advances in time series analysis and imaging
  • Demonstrates a unified analysis framework for both TPI and DCE-MRI along with OCT imaging modalities. Both approaches are complementary in their ability to identify and assess disease proliferation
  • Suggests future directions for machine learning approaches to consider the automation of diagnostic processes
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eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-57027-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-57026-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-319-86061-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (7 chapters)

Table of contents (7 chapters)
  • Introduction and Motivation for Conducting Medical Image Analysis

    Pages 1-26

    Yin, Xiao-Xia (et al.)

  • Overview of Clinical Applications Using THz Pulse Imaging, MRI, OCT and Fundus Imaging

    Pages 27-50

    Yin, Xiao-Xia (et al.)

  • Recent Advances in Medical Data Preprocessing and Feature Extraction Techniques

    Pages 51-92

    Yin, Xiao-Xia (et al.)

  • Pattern Classification

    Pages 93-128

    Yin, Xiao-Xia (et al.)

  • Introduction to MRI Time Series Image Analysis Techniques

    Pages 129-163

    Yin, Xiao-Xia (et al.)

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-57027-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-319-57026-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.99
price for USA in USD
  • ISBN 978-3-319-86061-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Pattern Classification of Medical Images: Computer Aided Diagnosis
Authors
Series Title
Health Information Science
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-57027-3
DOI
10.1007/978-3-319-57027-3
Hardcover ISBN
978-3-319-57026-6
Softcover ISBN
978-3-319-86061-9
Series ISSN
2366-0988
Edition Number
1
Number of Pages
XIV, 218
Number of Illustrations
20 b/w illustrations, 67 illustrations in colour
Topics