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- W2587912562 abstract "The differentiation of skin melanomas and basal cell carcinomas (BCCs) was demonstrated based on combined analysis of Raman and autofluorescence spectra stimulated by visible and NIR lasers. It was ex vivo tested on 39 melanomas and 40 BCCs. Six spectroscopic criteria utilizing information about alteration of melanin, porphyrins, flavins, lipids, and collagen content in tumor with a comparison to healthy skin were proposed. The measured correlation between the proposed criteria makes it possible to define weakly correlated criteria groups for discriminant analysis and principal components analysis application. It was shown that the accuracy of cancerous tissues classification reaches 97.3% for a combined 6-criteria multimodal algorithm, while the accuracy determined separately for each modality does not exceed 79%. The combined 6-D method is a rapid and reliable tool for malignant skin detection and classification." @default.
- W2587912562 created "2017-02-24" @default.
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- W2587912562 date "2017-02-16" @default.
- W2587912562 modified "2023-09-29" @default.
- W2587912562 title "Combined Raman and autofluorescence <i>ex vivo</i> diagnostics of skin cancer in near-infrared and visible regions" @default.
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- W2587912562 doi "https://doi.org/10.1117/1.jbo.22.2.027005" @default.
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