2017
DOI: 10.1016/j.chemolab.2017.08.012
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A reliable multiclass classification model for identifying the subtypes of parotid neoplasms constructed with variable combination population analysis and partial least squares regression based on Raman spectra

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Cited by 4 publications
(1 citation statement)
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“…The correct diagnosis of the different stages of OSCC patients played a significant role in the management and prognosis. 14,15 Although there were Table 3 The results of the classification of different T stage groups numerous algorithms to analyze and classify the spectral data, 6,[16][17][18] the PCA-LDA was mostly employed in the classification of Raman spectra and had a perfect performance. 2,7,19 In this study, it was the first time to classify and diagnose the different TNM stages and histologic grades of OSCC by using SERS and PCA-LDA based on the serum samples.…”
Section: Discussionmentioning
confidence: 99%
“…The correct diagnosis of the different stages of OSCC patients played a significant role in the management and prognosis. 14,15 Although there were Table 3 The results of the classification of different T stage groups numerous algorithms to analyze and classify the spectral data, 6,[16][17][18] the PCA-LDA was mostly employed in the classification of Raman spectra and had a perfect performance. 2,7,19 In this study, it was the first time to classify and diagnose the different TNM stages and histologic grades of OSCC by using SERS and PCA-LDA based on the serum samples.…”
Section: Discussionmentioning
confidence: 99%