Abstract:The feasibility of early diagnosis of endometrial carcinoma was studied by least squares support vector machines (LS-SVM) that classified near infrared (NIR) spectra of tissues. NIR spectra of 77 specimens of endometrium were collected. The spectra were pretreated by the 1st derivative Savitzky-Golay and direct orthogonal signal correction (DOSC) methods to improve the signal-to-noise ratio and remove the influences of background and baseline. The effects of modeling parameters were investigated using grid sea… Show more
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