Cervical cancer diagnosis model using spontaneous Raman and Coherent anti-Stokes Raman spectroscopy with artificial intelligence
Cervical cancer is the fourth most common cancer worldwide. Histopathology, which is currently considered the gold standard for cervical cancer diagnosis, can be time-consuming and subjective. Therefore, there is an urgent need for a rapid, objective, and non-destructive cervical cancer detection technique. In this study, high-wavenumber spontaneous Raman spectroscopy was used to detect cervical squamous cell carcinoma and normal tissues. The levels of lipids, fatty acids, and proteins in cervical cancerous tissues were found to be higher than those in normal tissues. Raman difference spectroscopy revealed the most significant difference at 2928 cm
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Funding
National Natural Science Foundation of China Grant 8200112783Jilin Scientific and Technological Development Program Grant 20230204102YYDepartment of Science and Technology of Jilin Province FundingInnovative Research Group Project of the National Natural Science Foundation of China FundingExcellent Young Scientists Fund Funding