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Undergraduate Topics in Computer Science

Introduction to Medical Image Analysis

Authors: Paulsen, Rasmus R., Moeslund, Thomas B.

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  • Easily accessible even to those who do not have a strong mathematical background
  • Offers a concise introductory treatment
  • Simply explains and clearly illustrates the key algorithms and concepts
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eBook 32,09 €
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  • ISBN 978-3-030-39364-9
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Softcover 39,99 €
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  • ISBN 978-3-030-39363-2
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  • Immediate ebook access, if available*, with your print order
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About this Textbook

This easy-to-follow textbook presents an engaging introduction to the fascinating world of medical image analysis. Avoiding an overly mathematical treatment, the text focuses on intuitive explanations, illustrating the key algorithms and concepts in a way which will make sense to students from a broad range of different backgrounds.

Topics and features: explains what light is, and how it can be captured by a camera and converted into an image, as well as how images can be compressed and stored; describes basic image manipulation methods for understanding and improving image quality, and a useful segmentation algorithm; reviews the basic image processing methods for segmenting or enhancing certain features in an image, with a focus on morphology methods for binary images; examines how to detect, describe, and recognize objects in an image, and how the nature of color can be used for segmenting objects; introduces a statistical method to determine what class of object the pixels in an image represent; describes how to change the geometry within an image, how to align two images so that they are as similar as possible, and how to detect lines and paths in images; provides further exercises and other supplementary material at an associated website.

This concise and accessible textbook will be invaluable to undergraduate students of computer science, engineering, medicine, and any multi-disciplinary courses that combine topics on health with data science. Medical practitioners working with medical imaging devices will also appreciate this easy-to-understand explanation of the technology.

About the authors

Dr. Rasmus R. Paulsen is an Associate Professor at the Section for Image Analysis and Computer Graphics (IACG) in the Department for Applied Mathematics and Computer Science (DTU Compute) of the Technical University of Denmark (DTU).

Dr. Thomas B. Moeslund is a Professor at the Technical Faculty of IT and Design (TECH) of Aalborg University (AAU), Denmark, where he serves as Head of Media Technology and Head of the Visual Analysis of People Laboratory (VAP). His other publications include the Springer titles Introduction to Video and Image Processing, Computer Vision in Sports, and Visual Analysis of Humans.

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook 32,09 €
price for India (gross)
  • ISBN 978-3-030-39364-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 39,99 €
price for India (gross)
  • ISBN 978-3-030-39363-2
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Introduction to Medical Image Analysis
Authors
Series Title
Undergraduate Topics in Computer Science
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-39364-9
DOI
10.1007/978-3-030-39364-9
Softcover ISBN
978-3-030-39363-2
Series ISSN
1863-7310
Edition Number
1
Number of Pages
X, 186
Number of Illustrations
102 b/w illustrations, 54 illustrations in colour
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works are not included.