Application of Principal Component Analysis and Linear Discriminant Analysis on Elastic Light Single-Scattering Spectroscopic Data for Classification of Prostate Tissue: A Preliminary Study

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dc.contributor.author Denkçeken, Tuba
dc.contributor.author Canpolat, Murat
dc.contributor.author Bassorgun, İbrahim
dc.contributor.author Baykara, Mehmet
dc.date.accessioned 2021-06-07T11:16:37Z
dc.date.available 2021-06-07T11:16:37Z
dc.date.issued 2014
dc.identifier.isbn 978-1-4799-7572-3
dc.identifier.uri https://doi.org/10.1109/BIYOMUT.2014.7026364 en_US
dc.identifier.uri http://openaccess.sanko.edu.tr/xmlui/handle/20.500.12527/170
dc.description.abstract Elastic Light Scattering Spectroscopy (ELSS) system with a single optical fiber probe was employed to detect positive surgical margins of prostate cancer in combination with principal components and linear discriminant analysis. ELSSS spectra in the 450-750 nm wavelength regions were obtained from the total of 299 tissue samples from 27 patients. The ELSSS spectral data were compared against the "gold standard" histopathology results. Data analysis was done using principal components analysis, followed by linear discriminant analysis. Receiver Operating Characteristic (ROC) curve was calculated for diagnostic performance. Classification based on the discriminant score provided a sensitivity of 100% and a specificity of 95.2%, in differentiating benign from malign surgical margins of prostate tissues, and the area under the ROC curve of 0.98. In this study, it was shown that ELSSS system can accurately distinguish benign and malign surgical margins of prostate tissues with high sensitivity and specificity. In our study, diagnostic accuracy showed that the applicability of in-vivo fiber optic tissue classification. en_US
dc.language.iso English en_US
dc.publisher IEEE en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject POSITIVE SURGICAL MARGINS en_US
dc.subject FROZEN-SECTION ANALYSIS en_US
dc.subject RADICAL PROSTATECTOMY en_US
dc.subject REFRACTIVE-INDEX en_US
dc.subject FAT en_US
dc.title Application of Principal Component Analysis and Linear Discriminant Analysis on Elastic Light Single-Scattering Spectroscopic Data for Classification of Prostate Tissue: A Preliminary Study en_US
dc.type Book chapter en_US
dc.contributor.authorID 0000-0002-4663-5410 : Tuba Denkçeken en_US
dc.contributor.authorID 0000-0003-3298-9725 : Murat Canpolat en_US
dc.contributor.authorID 0000-0003-2440-511X : İbrahim Bassorgun en_US
dc.identifier.wos 000381577500032 en_US
dc.identifier.doi 10.1109/BIYOMUT.2014.7026364 en_US
dc.contributor.sankoauthor Tuba Denkçeken en_US


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Gazimuhtar Paşa Bulvarı
No:36
27090
Şehitkamil / GAZİANTEP