| abstract |
An artificial intelligence-assisted early diagnosis method for prostate tumors based on surface-enhanced Raman spectroscopy, comprising a step of collecting serum samples; a step of using a Raman spectrometer for detection; a step of graphical analysis and data processing of the collected Raman spectrum signals Select the biological tissue Raman spectrum concentration range of 400-1800 cm -1 for analysis, use OriginPro 8 software to preprocess the original spectrum collected by the spectrometer, including background subtraction and spectral area normalization, and draw the serum average Raman spectrum, and then compare the changes and differences of the relevant Raman characteristic peaks, and finally get the diagnosis results of early diagnosis of prostate tumors. The present invention has higher sensitivity and higher specificity, and reduces unnecessary needle biopsy and missed diagnosis caused by the existing screening and diagnosis methods. |