Data augmentation method based on the Gaussian kernel density for glioma diagnosis with Raman spectroscopy

Abstract

In this study, a data augmentation algorithm GKIM based on the Gaussian kernel density is proposed for the data augmentation of normal tissue spectra. It can effectively solve the class imbalance problem.