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Cervical cancer detection based on serum Raman spectroscopic techniques and support vector machine

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Abstract

This study employed serum Raman spectroscopy (RS) and surface-enhanced Raman spectroscopy (SERS) to distinguish cervical cancer patients from controls. Using support vector machine (SVM), the classification accuracy of SERS reached 90.9%, better than RS.

© 2022 The Author(s)

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