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Classification of Crystallographic Data Using Canonical Correlation Analysis
EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 019260 (2007)
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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Ladisa, M., Lamura, A. & Laudadio, T. Classification of Crystallographic Data Using Canonical Correlation Analysis. EURASIP J. Adv. Signal Process. 2007, 019260 (2007) doi:10.1155/2007/19260
- Statistical Method
- Information Technology
- Diffraction Data
- Quantum Information
- Crystallographic Data