The proposed preprocessing model effectively improved the diagnostic accuracy of serum Raman spectroscopy. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

The proposed preprocessing model effectively improved the diagnostic accuracy of serum Raman spectroscopy.

Caption

a The trial workflow. b Curves and shadows show the normalized serum SERS spectra with mean ± SD collected from 27 Cancer (Orange) and 28 healthy (blue) cases. c RSBPCNN# preprocessed spectra of b. g Cancer diagnostic accuracy of spectra preprocessed by spectral preprocessing methods at different training sample sizes (cases).

Credit

by Jiaqi Hu, Gina Jinna Chen, Chenlong Xue, Pei Liang, Yanqun Xiang, Chuanlun Zhang, Xiaokeng Chi, Guoying Liu, Yanfang Ye, Dongyu Cui, De Zhang, Xiaojun yu, Hong Dang, Wen Zhang, Junfan Chen, Quan Tang, Penglai Guo, Ho-Pui Ho, Yuchao Li, Longqing Cong & Perry Ping Shum

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CC BY

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