Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine

<div>(a) The mean ± standard deviations (SD) of normalized spectra in H, DCIS, and IDC tissues; shading area represents standard deviations. (b) The differential spectra calculated from the normalized Raman spectra among different tissues.</div>

Journal of Spectroscopy

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Figure 2: Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine 

Figure 2 | Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Component Analysis-Support Vector Machine 