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- W3014098095 abstract "A comparative in vivo study of skin tumors and normal skin was performed using Raman and autofluorescence spectral signals simultaneously recorded in the range of 800–1000 nm with a help of portable spectrometer and 785 nm excitation laser. The 1012 spectra were collected from 506 patients of the Samara Clinical Oncological Dispensary. The classification of spectral data for various tumors and normal skin was carried out by the PLS-DA method. The bands with most important spectral differences between analyzed skin tissues were found with the projection on latent structures analysis. The spectral differences showed significant changes among normal skin and tumors associated with such biochemicals as elastin, collagen, melanin, nucleic acid, lipids, phenylalanine. Results of the analysis were presented by utilizing sensitivity, specificity and accuracy and receiving operating characteristic (ROC) curve. To classify 314 spectra of benign tumors and 314 spectra of normal skin the mean accuracy was found to be a 0.86; for classification of 192 spectra of skin cancer and 192 spectra of normal skin the mean accuracy was found to be a 0.84; when the benign tumors and skin cancer were combined and differentiated from all normal skin 0.79 mean accuracy was obtained. The achieved results demonstrates Raman and autofluorescence spectra efficiency in highlighting biochemical changes during tumor growth." @default.
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- W3014098095 date "2020-04-02" @default.
- W3014098095 modified "2023-09-23" @default.
- W3014098095 title "Multiparametric spectral diagnosis of skin cancer" @default.
- W3014098095 doi "https://doi.org/10.1117/12.2555306" @default.
- W3014098095 hasPublicationYear "2020" @default.
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