THE USE OF INTELLIGENT DATA PROCESSING TECHNIQUES OF RAMAN SPECTROSCOPY FOR THE DIAGNOSIS OF MALIGNANT TUMORS
Abstract
The purpose of this study is to develop a universal algorithm for analyzing the spectrograms of Raman scattering (Raman- spectroscopy) using intelligent data processing methods.The presented algorithm is realized by the authors in the programming language Python and represents a sequence of mathemat-ical transformations of Raman spectra for the purpose of automatic recognition of normal and tumor tissues.It is found that the optimal algorithm is the calculation of the baseline spectrum by iterative polynomial regression, subsequent frequency analysis of the spectrum, determination of the main components of the spectrum, and machine learning. The reliability of identification and classification of normal tissue and tissue of a malignant tumor was 97.5 to 98%.
About the Authors
V. N. Pavlov
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Россия
Россия
A. R. Bilyalov
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Россия
Россия
R. F. Gilmanova
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Россия
Россия
R. R. Yakupov
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Россия
Россия
A. S. Kovtunenko
ФГБОУ ВО «Уфимский государственный авиационный технический университет»
Россия
Россия
A. T. Bikmeev
ФГБОУ ВО «Уфимский государственный авиационный технический университет»
Россия
Россия
S. G. Karchevsky
ГУП «Институт нефтехимпереработки Республики Башкортостан»
Россия
Россия
R. R. Khalilov
ГУП «Институт нефтехимпереработки Республики Башкортостан»
Россия
Россия
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Review
For citations:
Pavlov V.N., Bilyalov A.R., Gilmanova R.F., Yakupov R.R., Kovtunenko A.S., Bikmeev A.T., Karchevsky S.G., Khalilov R.R. THE USE OF INTELLIGENT DATA PROCESSING TECHNIQUES OF RAMAN SPECTROSCOPY FOR THE DIAGNOSIS OF MALIGNANT TUMORS. Bashkortostan Medical Journal. 2018;13(3):43-47. (In Russ.)
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