2 papers
cs.LG2026
Generative Augmentation of Raman Spectra for Glioma Classification
Andrei IuÅan, Iulian Vasile, Daria Voiculescu +4
Access to sufficiently large biomedical datasets remains a major obstacle for machine learning in Raman spectroscopy-based diagnostics. In particular, for glioma analysis, datasets…
cs.LG2026
Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation
Bogdan Oancea, Ana Maria Seciu-Grama, Nicoleta Siminea +10
Raman spectroscopy provides label-free, chemically specific characterization of biological systems and has become an important tool for cancer diagnosis, molecular subtyping, micro…