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Classification of Crystallographic Data Using Canonical Correlation Analysis


A reliable and automatic method is applied to crystallographic data for tissue typing. The technique is based on canonical correlation analysis, a statistical method which makes use of the spectral-spatial information characterizing X-ray diffraction data measured from bone samples with implanted tissues. The performance has been compared with a standard crystallographic technique in terms of accuracy and automation. The proposed approach is able to provide reliable tissue classification with a direct tissue visualization without requiring any user interaction.


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Correspondence to M. Ladisa.

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About this article


  • Statistical Method
  • Information Technology
  • Diffraction Data
  • Quantum Information
  • Crystallographic Data