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Journal of Biomedical Optics

Near-infrared spectroscopic applications for diagnosis of endometrial carcinoma
Author(s): Yuhong Xiang; Ke Xu; Zhuoyong Zhang; Yinmei Dai; Peter de B. Harrington
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Paper Abstract

NIR spectra of 77 endometrium sections (malignant, hyperplasia, and normal samples) are collected. Partial least squares discriminant analysis (PLS-DA) and fuzzy rule-building expert systems (FuRES) are used for classification based on the NIR spectral data. The classification ability of two classifiers is evaluated by using ten bootstraps and five Latin partitions. The results indicate that the classification ability of FuRES is better than that of PLS-DA. The sensitivity, specificity, and accuracy obtained from FuRES for malignant endometrium diagnosis are 90.0±0.7, 95.0±0.8, and 93.1±0.8%, respectively. The results demonstrate that NIR spectroscopy combined with the FuRES technique is promising for the classification of endometrial specimens and for practical diagnostic applications.

Paper Details

Date Published: 1 November 2010
PDF: 4 pages
J. Biomed. Opt. 15(6) 067002 doi: 10.1117/1.3512183
Published in: Journal of Biomedical Optics Volume 15, Issue 6
Show Author Affiliations
Yuhong Xiang, Capital Normal Univ. (China)
Ke Xu, Capital Normal Univ. (China)
Zhuoyong Zhang, Capital Normal Univ. (China)
Yinmei Dai, Capital Univ. of Medical Science (China)
Peter de B. Harrington, Ohio Univ. (United States)

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