Integrated spectral-ML framework for the high-fidelity discrimination of cancer cells in liquid biopsy
This study presents a systematic evaluation of three nonlinear ML classifiers, including random forest (RF), extreme gradient boosting (XGB), and support vector machine (SVM), while integrating advanced spectral preprocessing methods such as modified Vancouver Raman algorithm, multiframe non-local means (MNLM) denoisin...