Glioma Tumors Classified using Visible Resonance Raman Spectroscopy and Machine Learning

Machine learning algorithms were used to classify and analyze spectral data collected by visible resonance Raman spectroscopy to distinguish normal human brain tissue and glioma tumor tissues at different grades and show promising results.