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>H&amp;E-stained images of healthy breast tissue (a), ductal carcinoma <i>in situ</i> (b), and invasive ductal carcinoma (c) tissue with 500 <i>μ</i>m, 400 <i>μ</i>m, and 1050 <i>μ</i>m scale bar, respectively.</div>

Journal of Spectroscopy

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Figure 1: 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 1 | 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 