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Guide to Medical Image Analysis
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Table of Contents

The Analysis of Medical Images Digital Image Acquisition Image Storage and Transfer Image Enhancement Feature Detection Segmentation: Principles and Basic Techniques Segmentation in Feature Space Segmentation as a Graph Problem Active Contours and Active Surfaces Registration and Normalization Detection and Segmentation by Shape and Appearance Classification and Clustering Validation Optimisation of Markov Random Fields Variational Calculus Principal Component Analysis References

About the Author

Dr. Klaus D. Toennies is a Professor of Image Processing and Pattern Recognition at the Department of Simulation and Graphics of the Otto-von-Guericke University of Magdeburg, Germany.

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