The Analysis of Medical Images

  • Klaus D. Toennies
Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)


Medical images are different from other pictures in that they depict distributions of various physical features measured from the human body. They show attributes that are otherwise inaccessible. Furthermore, analysis of such images is guided by very specific expectations which gave rise to acquiring the images in the first place. This has consequences on the kind of analysis and on requirements for algorithms that carry out some or all of the analysis. Image analysis as part of the clinical workflow will be discussed in this chapter as well as the types of tools that exist to support the development and carrying out such an analysis. We will conclude with an example for the solution of an analysis task in order to illustrate important aspects for the development of methods for analyzing medical images.


Medical Image Analysis Task Markov Random Field Multiple Sclerosis Lesion Open Source Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  1. 1.Computer Science Department, ISGOtto-von-Guericke-Universität MagdeburgMagdeburgGermany

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