Matches in SemOpenAlex for { <https://semopenalex.org/work/W1965492743> ?p ?o ?g. }
- W1965492743 abstract "Information theoretic similarity metrics, including mutual information, have been widely and successfully employed in multimodal biomedical image registration. These metrics are generally based on the Shannon-Boltzmann-Gibbs definition of entropy. However, other entropy definitions exist, including generalized entropies, which are parameterized by a real number. New similarity metrics can be derived by exploiting the additivity and pseudoadditivity properties of these entropies. In many cases, use of these measures results in an increased percentage of correct registrations. Results suggest that generalized information theoretic similarity metrics, used in conjunction with other measures, including Shannon entropy metrics, can improve registration performance." @default.
- W1965492743 created "2016-06-24" @default.
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- W1965492743 date "2003-05-16" @default.
- W1965492743 modified "2023-09-28" @default.
- W1965492743 title "Similarity metrics based on nonadditive entropies for 2D-3D multimodal biomedical image registration" @default.
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- W1965492743 doi "https://doi.org/10.1117/12.480867" @default.
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