Estimating and suppressing background in Raman spectra with an artificial neural network

Sigurdur Sigurdsson, Jan Larsen, Peter Alshede Philipsen, Monika Gniadecka, Hans Christian Wulf, Lars Kai Hansen

    Research output: Book/Report › Report

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    Abstract

    In this report we address the problem of skin fluorescence in feature extraction from Raman spectra of skin lesions. We apply a highly automated neural network method for suppressing skin fluorescence from Raman spectrum of skin lesions before dimension reduction with principal components analysis. By applying the background suppression, the effect of outlier spectrum in the principal components analysis was greatly reduced.
    Original languageEnglish
    Publication statusPublished - 2003

    Cite this

    Sigurdsson, S., Larsen, J., Philipsen, P. A., Gniadecka, M., Wulf, H. C., & Hansen, L. K. (2003). Estimating and suppressing background in Raman spectra with an artificial neural network.
    Sigurdsson, Sigurdur ; Larsen, Jan ; Philipsen, Peter Alshede ; Gniadecka, Monika ; Wulf, Hans Christian ; Hansen, Lars Kai. / Estimating and suppressing background in Raman spectra with an artificial neural network. 2003.
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    abstract = "In this report we address the problem of skin fluorescence in feature extraction from Raman spectra of skin lesions. We apply a highly automated neural network method for suppressing skin fluorescence from Raman spectrum of skin lesions before dimension reduction with principal components analysis. By applying the background suppression, the effect of outlier spectrum in the principal components analysis was greatly reduced.",
    author = "Sigurdur Sigurdsson and Jan Larsen and Philipsen, {Peter Alshede} and Monika Gniadecka and Wulf, {Hans Christian} and Hansen, {Lars Kai}",
    year = "2003",
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    Sigurdsson, S, Larsen, J, Philipsen, PA, Gniadecka, M, Wulf, HC & Hansen, LK 2003, Estimating and suppressing background in Raman spectra with an artificial neural network.

    Estimating and suppressing background in Raman spectra with an artificial neural network. / Sigurdsson, Sigurdur; Larsen, Jan; Philipsen, Peter Alshede; Gniadecka, Monika; Wulf, Hans Christian; Hansen, Lars Kai.

    2003.

    Research output: Book/Report › Report

    TY - RPRT

    T1 - Estimating and suppressing background in Raman spectra with an artificial neural network

    AU - Sigurdsson, Sigurdur

    AU - Larsen, Jan

    AU - Philipsen, Peter Alshede

    AU - Gniadecka, Monika

    AU - Wulf, Hans Christian

    AU - Hansen, Lars Kai

    PY - 2003

    Y1 - 2003

    N2 - In this report we address the problem of skin fluorescence in feature extraction from Raman spectra of skin lesions. We apply a highly automated neural network method for suppressing skin fluorescence from Raman spectrum of skin lesions before dimension reduction with principal components analysis. By applying the background suppression, the effect of outlier spectrum in the principal components analysis was greatly reduced.

    AB - In this report we address the problem of skin fluorescence in feature extraction from Raman spectra of skin lesions. We apply a highly automated neural network method for suppressing skin fluorescence from Raman spectrum of skin lesions before dimension reduction with principal components analysis. By applying the background suppression, the effect of outlier spectrum in the principal components analysis was greatly reduced.

    M3 - Report

    BT - Estimating and suppressing background in Raman spectra with an artificial neural network

    ER -

    Sigurdsson S, Larsen J, Philipsen PA, Gniadecka M, Wulf HC, Hansen LK. Estimating and suppressing background in Raman spectra with an artificial neural network. 2003.

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