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Computer vision techniques useful in medical image
analysis
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Analysis of image sequences and temporal data
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Image segmentation
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Feature extraction and pattern recognition
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Registration and fusion of data from different
modalities
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Anatomical models and their use in image analysis
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Bayesian/entropy and other statistical methods useful in
medical image processing
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New approaches to image formation
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Image reconstruction from underdetermined, multiplexed
or noisy projections
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Use of prior information in image reconstruction and
analysis
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Objective assessment of image quality
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Searching and sorting in medical image databases
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Estimation of quantitative parameters from images
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Display systems for visualization of multidimensional
data
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Rule based systems and learning
The demonstration of the specific medical application of the
presented image processing procedure is required.