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  • Research Article
  • Open Access

Classification of Crystallographic Data Using Canonical Correlation Analysis

EURASIP Journal on Advances in Signal Processing20072007:019260

https://doi.org/10.1155/2007/19260

  • Received: 28 September 2006
  • Accepted: 4 March 2007
  • Published:

Abstract

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.

Keywords

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

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Authors’ Affiliations

(1)
Istituto di Cristallografia (IC), CNR, Via Amendola 122/O, Bari, 70126, Italy
(2)
Istituto Applicazioni Calcolo (IAC), CNR, Via Amendola 122/D, Bari, 70126, Italy

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Copyright

© M. Ladisa et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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