16 March 2023Identification of spectral features for selective detection of peripheral nerves by support vector machine-based Raman spectral analysis (Conference Presentation)
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Raman spectroscopy is expected as a non-invasive and effective method for the accurate identification of peripheral nerves. However, the discrimination basis of the Raman spectroscopic method is sometimes ambiguous due to the partial and complicated information of tissue molecules reflected in Raman spectra.
In this study, we developed a method for identifying spectral features in Raman spectroscopic detection of peripheral nerves by utilizing a support vector machine (SVM). Raman spectral features for the discrimination of tissue species were extracted by analyzing the feature weight obtained from the linear SVM classifier.
Koshirou Hori,Takeo Minamikawa,Yoshiki Terao,Masami Shishibori, andTakeshi Yasui
"Identification of spectral features for selective detection of peripheral nerves by support vector machine-based Raman spectral analysis (Conference Presentation)", Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910Q (16 March 2023); https://doi.org/10.1117/12.2648014
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Koshirou Hori, Takeo Minamikawa, Yoshiki Terao, Masami Shishibori, Takeshi Yasui, "Identification of spectral features for selective detection of peripheral nerves by support vector machine-based Raman spectral analysis (Conference Presentation)," Proc. SPIE PC12391, Label-free Biomedical Imaging and Sensing (LBIS) 2023, PC123910Q (16 March 2023); https://doi.org/10.1117/12.2648014