18 November 2013 Parametrization histological grade white adipose tissue of the breast by the cubic spline interpolation
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Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 8785DJ (2013) https://doi.org/10.1117/12.2026344
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal
Abstract
The noninvasive optical techniques have attracted considerable interest in recent years, because these techniques provide lot of information on the structure and composition of biological tissues more quickly and painlessly, in this study classifies the degrees of histological differentiation of neoplastic tissue of the breast in white adipose tissue samples through numerical pametrización of the diffuse reflection spectra using the Fourier series approximation. The white adipose tissue is irradiated with the spectrophotometer MiniScan XEplus and it from a mastectomy of patients with aged 38 and 50 who have a cancer lesion in the breast. The samples were provided by the pathologist with theirs medical report, it which we indicate the histological grade of tumor. We performed a parameterization algorithm where the classification criterion is the modulus of the minimum difference between the numerical approximation coefficients ai and average numerical approximation coefficients obtained for each histological grade ̄ al. Is confirmed that the cubic spline interpolation this low-power computing lets classified into histological grades with 91% certainty the tissues under study from |ai − ̄ al|
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Leslie A. Martinez, Leslie A. Martinez, Freddy J. Narea, Freddy J. Narea, Fernando Cedeño, Fernando Cedeño, Aaron A. Muñoz, Aaron A. Muñoz, Aldo Reigosa, Aldo Reigosa, Kelly Bravo, Kelly Bravo, } "Parametrization histological grade white adipose tissue of the breast by the cubic spline interpolation", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785DJ (18 November 2013); doi: 10.1117/12.2026344; https://doi.org/10.1117/12.2026344
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