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Review of current techniques to analyze diffuse reflectance spectra for diagnosis of skin lesions
Determination of tissue optical properties using diffuse reflectance spectroscopy is an effective and extensively used technique for the non-invasive study of tissues. The methods to obtain the spectra are practically uniform, however, approaches for signal detection and data processing have varied...
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Main Authors: | , , , , |
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Format: | Conference Proceeding |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Determination of tissue optical properties using diffuse reflectance spectroscopy is an effective and extensively used technique for the non-invasive study of tissues. The methods to obtain the spectra are practically uniform, however, approaches for signal detection and data processing have varied widely. In some cases it is used a physical model (Monte Carlo model, the diffusion approximation to the transport equation), in other cases an empirical model (principal component analysis) accompanied by tools (Support Vector Machine, Neural Network, Partial Least Squares, etc.) that allow to analyze the obtained spectra. In this work, we present a review of the available methods used to analyze the measured steady state diffuse reflection spectra of human skin for diagnostic purposes. |
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ISSN: | 0094-243X |
DOI: | 10.1063/1.2979287 |