Overview
- 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
- Includes supplementary material: sn.pub/extras
- Includes supplementary material: sn.pub/extras
Part of the book series: Health Information Science (HIS)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
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.
Authors and Affiliations
Bibliographic Information
Book Title: Pattern Classification of Medical Images: Computer Aided Diagnosis
Authors: Xiao-Xia Yin, Sillas Hadjiloucas, Yanchun Zhang
Series Title: Health Information Science
DOI: https://doi.org/10.1007/978-3-319-57027-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-57026-6Published: 07 July 2017
Softcover ISBN: 978-3-319-86061-9Published: 02 August 2018
eBook ISBN: 978-3-319-57027-3Published: 27 June 2017
Series ISSN: 2366-0988
Series E-ISSN: 2366-0996
Edition Number: 1
Number of Pages: XIV, 218
Number of Illustrations: 20 b/w illustrations, 67 illustrations in colour
Topics: Image Processing and Computer Vision, Signal, Image and Speech Processing, Health Informatics, Biomedical Engineering and Bioengineering