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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
Russian Federation


A. R. Bilyalov
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Russian Federation


R. F. Gilmanova
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Russian Federation


R. R. Yakupov
ФГБОУ ВО «Башкирский государственный медицинский университет» Минздрава России
Russian Federation


A. S. Kovtunenko
ФГБОУ ВО «Уфимский государственный авиационный технический университет»
Russian Federation


A. T. Bikmeev
ФГБОУ ВО «Уфимский государственный авиационный технический университет»
Russian Federation


S. G. Karchevsky
ГУП «Институт нефтехимпереработки Республики Башкортостан»
Russian Federation


R. R. Khalilov
ГУП «Институт нефтехимпереработки Республики Башкортостан»
Russian Federation


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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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ISSN 1999-6209 (Print)