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What is Expectation-Maximization (EM) Algorithm

Chapter 8
Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
It is used in statistics for finding maximum likelihood estimates of parameters in probabilistic models, where the model depends on unobserved latent variables.
Published in Chapter:
Segmentation of Cardiac Magnetic Resonance Images
Dimitrios G. Tsalikakis (University of Ioannina, Greece), Petros S. Karvelis (University of Ioannina, Greece), and Dimitrios I. Fotiadis (University of Ioannina, Greece)
Copyright: © 2009 |Pages: 18
DOI: 10.4018/978-1-60566-314-2.ch008
Abstract
Segmentation plays a crucial role in cardiac magnetic resonance imaging (CMRI) applications, since it permits automated detection of regions of interest. In this chapter we review semi-automated and fully automated cardiac MRI segmentation techniques and discuss their advantages. We classify those segmentation methods as classical and model-based.
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