Authors:
- An in-depth-introduction into medical image analysis, suitable for use as a textbook
- Provides a detailed discussion on segmentation, classification and registration techniques
- Presents the methods in the context of their adequate use, based on the constraints necessary for successful application
- Updated new edition, expanded with additional methods, and coverage of deep convolutional networks
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
Reviews
“The book is well written and accurate. The author states that he has made a number of additions and corrections in this new edition; the result is very good. … it’s well suited as a textbook for medical professionals. I am evaluating it for adoption in a medical imaging course, and would recommend it to those in the medical field who want a detailed discussion of medical image analysis.” (Computing Reviews, October, 2017)
Authors and Affiliations
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Otto-von-Guericke-Universität Magdeburg Computer Science Department, ISG, Magdeburg, Germany
Klaus D. Toennies
About the author
Bibliographic Information
Book Title: Guide to Medical Image Analysis
Book Subtitle: Methods and Algorithms
Authors: Klaus D. Toennies
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-7320-5
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Ltd. 2017
Hardcover ISBN: 978-1-4471-7318-2Published: 02 May 2017
Softcover ISBN: 978-1-4471-7403-5Published: 19 July 2018
eBook ISBN: 978-1-4471-7320-5Published: 29 March 2017
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 2
Number of Pages: XXIV, 589
Number of Illustrations: 187 b/w illustrations, 197 illustrations in colour
Topics: Image Processing and Computer Vision, Imaging / Radiology