Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer
Abstract
Automated method of fluorescence images analysis obtained by excitation radiation with a wavelength of 360 and 390 nm is proposed. The method allows to detect the status of tissues of cervix: normal, chronic nonspecific inflammation (CNI) and cervical intraepithelial neoplasia (CIN), and build differential map pathology. For the border CIN/CNI achieved a sensitivity of 87 % and specificity 71 %. The method includes a specific preprocessing of the original images: combining images taken in different lighting conditions and highlight the area of interest. Features of the method are the use of a combination of features calculated for images of different types, and decision rule for classification based data mining techniques.
About the Authors
N. A. Obukhova
Saint Petersburg Electrotechnical University "LETI"
Russian Federation
Russian Federation
A. A. Motyko
Saint Petersburg Electrotechnical University "LETI"
Russian Federation
Russian Federation
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Review
For citations:
Obukhova N.A., Motyko A.A. Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer. Journal of the Russian Universities. Radioelectronics. 2015;(6):24-33. (In Russ.)
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