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- W2077880486 abstract "We analyze μ-CT tomographic images of human trabecular bone in vitro. We consider a sample consistingof 201 bone specimens harvested from six different skeletal sites with bone fraction in the range BV/TV e[0.04, 0.075]. Using the local characterization of the bone trabecular network given by isotropic and anisotropicscaling indices, we apply classification algorithms in order to reveal structural similarities in the sample. Theclassification procedures based on isotropic and anisotropic scaling indices lead to different clustering solutions.This comparison helps revealing interesting site specific structural features connected to the intrinsic anisotropyof the trabecular network." @default.
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- W2077880486 date "2012-03-23" @default.
- W2077880486 modified "2023-09-27" @default.
- W2077880486 title "Application of anisotropic structure measures for the classification of μ-CT images of human trabecular bone" @default.
- W2077880486 doi "https://doi.org/10.1117/12.911988" @default.
- W2077880486 hasPublicationYear "2012" @default.
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