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A novel diagnostic method: FT-IR, Raman and derivative spectroscopy fusion technology for the rapid diagnosis of renal cell carcinoma serum by Cheng Chen; Fangfang Chen; Bo Yang; Kai Zhang; Xiaoyi Lv; Chen Chen is a Chemistry article available to read on EtoBox.

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h i g h l i g h t s It is proposed for the first time to combine FT-IR, Raman spectra and their first-derivative spectra to develop a rapid diagnosis method for renal cell carcinoma. The accuracy of the multi-spectral fusion method (93%) is greatly improved compared with that of single infrared spectroscopy (74%), signal Raman spectroscopy (75%) and the fusion of infrared spectroscopy and Raman spectroscopy (79%). It shows that multi-spectral fusion technology combined with deep learning algorithms has great potential in the diagnosis of RCC. g r a p h i c a l This research innovatively combines Fourier transform infrared spectra, Raman spectra and its firstderivative spectra to develop a rapid diagnosis method for renal cell carcinoma (RCC). The spectral features are extracted by principal component analysis (PCA), and then the normalized fused data are used as input to the improved AlexNet model and MCNN model to train the models. Among them, the AlexNet model performed better, with a classification accuracy rate of 93%.

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Author

Cheng Chen; Fangfang Chen; Bo Yang; Kai Zhang; Xiaoyi Lv; Chen Chen

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Chemistry (Physical Sciences)