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 |
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Saint Petersburg Electrotechnical University "LETI"
2015-12-01
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| Series: | Известия высших учебных заведений России: Радиоэлектроника |
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| Online Access: | https://re.eltech.ru/jour/article/view/68 |
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| _version_ | 1849696080744153088 |
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| author | N. A. Obukhova A. A. Motyko |
| author_facet | N. A. Obukhova A. A. Motyko |
| author_sort | N. A. Obukhova |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3d1cb699ecf64e908ce4fe2eb6dbe455 |
| institution | DOAJ |
| issn | 1993-8985 2658-4794 |
| language | Russian |
| publishDate | 2015-12-01 |
| publisher | Saint Petersburg Electrotechnical University "LETI" |
| record_format | Article |
| series | Известия высших учебных заведений России: Радиоэлектроника |
| spelling | doaj-art-3d1cb699ecf64e908ce4fe2eb6dbe4552025-08-20T03:19:34ZrusSaint Petersburg Electrotechnical University "LETI"Известия высших учебных заведений России: Радиоэлектроника1993-89852658-47942015-12-0106243368Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancerN. A. Obukhova0A. A. Motyko1Saint Petersburg Electrotechnical University "LETI"Saint Petersburg Electrotechnical University "LETI"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.https://re.eltech.ru/jour/article/view/68multi-spectral images processingmulti-spectral images combiningregion of interest selectionclassificationmedical images processing |
| spellingShingle | N. A. Obukhova A. A. Motyko Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer Известия высших учебных заведений России: Радиоэлектроника multi-spectral images processing multi-spectral images combining region of interest selection classification medical images processing |
| title | Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer |
| title_full | Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer |
| title_fullStr | Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer |
| title_full_unstemmed | Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer |
| title_short | Automatic method of colposcopic multi-spectral images analysis for television systems diagnostics of cervical cancer |
| title_sort | automatic method of colposcopic multi spectral images analysis for television systems diagnostics of cervical cancer |
| topic | multi-spectral images processing multi-spectral images combining region of interest selection classification medical images processing |
| url | https://re.eltech.ru/jour/article/view/68 |
| work_keys_str_mv | AT naobukhova automaticmethodofcolposcopicmultispectralimagesanalysisfortelevisionsystemsdiagnosticsofcervicalcancer AT aamotyko automaticmethodofcolposcopicmultispectralimagesanalysisfortelevisionsystemsdiagnosticsofcervicalcancer |