Abstract:Classifying SPECT images requires a preprocessing step which normalizes the images using a normalization region. The choice of the normalization region is not standard, and using different normalization regions introduces normalization region-dependent variability. This paper mathematically analyzes the effect of the normalization region to show that normalizedclassification is exactly equivalent to a subspace separation of the half rays of the images under multiplicative equivalence. Using this geometry, a ne… Show more
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