Conventional Raman spectra of normal and cancerous breast tissues were acquired at an excitation wavelength of 785 nm and subjected to a discrimination analysis. First the spectra were pretreated with wavelet transform and polynomial fitting; next, cancerous tissue was identified by applying an adaptive local hyperplane K-nearest neighbor (ALHK) method to the pretreated spectra. The best discrimination accuracy of the ALHK method was 93.2%. In summary, normal and cancerous breast tissue were accurately distinguished by a miniature laser Raman spectrometer and the chemometrics method (ALHK), which might prove to be a portable and accessible diagnostic system.
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Published in Zhurnal Prikladnoi Spektroskopii, Vol. 82, No. 3, pp. 441–446, May–June, 2015.
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Li, QB., Wang, W., Liu, CH. et al. Discrimination of Breast Cancer from Normal Tissue with Raman Spectroscopy and Chemometrics. J Appl Spectrosc 82, 450–455 (2015). https://doi.org/10.1007/s10812-015-0128-6