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Proceedings Paper

Spectral discrimination of serum from liver cancer and liver cirrhosis using Raman spectroscopy
Author(s): Tianyue Yang; Xiaozhou Li; Ting Yu; Ruomin Sun; Siqi Li
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Paper Abstract

In this paper, Raman spectra of human serum were measured using Raman spectroscopy, then the spectra was analyzed by multivariate statistical methods of principal component analysis (PCA). Then linear discriminant analysis (LDA) was utilized to differentiate the loading score of different diseases as the diagnosing algorithm. Artificial neural network (ANN) was used for cross-validation. The diagnosis sensitivity and specificity by PCA-LDA are 88% and 79%, while that of the PCA-ANN are 89% and 95%. It can be seen that modern analyzing method is a useful tool for the analysis of serum spectra for diagnosing diseases.

Paper Details

Date Published: 14 June 2011
PDF: 6 pages
Proc. SPIE 8087, Clinical and Biomedical Spectroscopy and Imaging II, 808720 (14 June 2011); doi: 10.1117/12.889251
Show Author Affiliations
Tianyue Yang, Shenyang Ligong Univ. (China)
Xiaozhou Li, Shenyang Ligong Univ. (China)
Ting Yu, Karlsruhe Univ. of Applied Sciences (Germany)
Ruomin Sun, Karlsruhe Univ. of Applied Sciences (Germany)
Siqi Li, Solon High School (United States)

Published in SPIE Proceedings Vol. 8087:
Clinical and Biomedical Spectroscopy and Imaging II
Nirmala Ramanujam; Jürgen Popp, Editor(s)

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