Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine.

•In this study, the normalized mean Raman spectra of cervical adenocarcinoma and cervical squamous cell carcinoma tissues were analyzed and compared.•The main Raman characteristic peaks of the normalized mean spectrum of two types of cervical cancer tissues were summarized.•The main differences of the normalized mean Raman spectra between two types of cervical cancer tissues were pointed out.•The differences of biochemical components between two types of cervical cancer tissues were analyzed.•PCA-SVM model was established, and the classification accuracy of cervical adenocarcinoma and squamous cell carcinoma was 93.125%.