Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer
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 diffe...
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Main Authors: | , |
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Format: | Article |
Language: | Russian |
Published: |
Saint Petersburg Electrotechnical University "LETI"
2015-12-01
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Series: | Известия высших учебных заведений России: Радиоэлектроника |
Subjects: | |
Online Access: | https://re.eltech.ru/jour/article/view/68 |
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Summary: | 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. |
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ISSN: | 1993-8985 2658-4794 |