Classification by Reconstruction

AI generates synthetic spectra to boost glioma classification accuracy

Researchers have developed a conditional variational autoencoder ($eta$-CVAE) to generate synthetic Raman spectra for improving glioma classification in machine learning. While models trained solely on synthetic data u…