Spectroscopy and Spectral Analysis, Volume. 29, Issue 6, 1553(2009)

Application of Probabilistic Neural Networks Method to Gastric Endoscope Samples Diagnosis Based on FTIR Spectroscopy

LI Qing-bo1、*, LI Xiang1, ZHANG Guang-jun1, XU Yi-zhuang2, WU Jin-guang2, and SUN Xue-jun3
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  • 1[in Chinese]
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  • 3[in Chinese]
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    References(6)

    [2] [2] LI Qing-Bo, LI Xiang, Soloway R D, et al. Gastroenterology, 2006, 130(4): A472.

    [3] [3] LI Qing-Bo, LI Xiang, XU Yi-zhuang, et al. Gastroenterology, 2006, 130(4): A473.

    [4] [4] LI Qingbo, XU Yizhuang, Yang Limin, et al. Clinical Chemistry, 2005, 51(2): 346.

    [13] [13] Yves Roggo, Pascal Chalus, Lene Maurer, et al. Journal of Pharmaceutical and Biomedical Analysis, 2007, 44(3): 683.

    [14] [14] Ludmila Dolmatova, Cyril Ruckebusch, Nathalie Dupuy, et al. Chemometrics and Intelligent Laboratory Systems, 1997, 36(2): 125.

    [16] [16] Fu Xiaping, Ying Yibin, Zhou Ying, et al. Analytica Chimica Acta, 2008, 598(1): 27.

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    LI Qing-bo, LI Xiang, ZHANG Guang-jun, XU Yi-zhuang, WU Jin-guang, SUN Xue-jun. Application of Probabilistic Neural Networks Method to Gastric Endoscope Samples Diagnosis Based on FTIR Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2009, 29(6): 1553

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    Paper Information

    Received: Feb. 18, 2008

    Accepted: --

    Published Online: May. 26, 2010

    The Author Email: LI Qing-bo (qbleebuaa@buaa.edu.cn)

    DOI:

    CSTR:32186.14.

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