Neural networks improve brain cancer detection with Raman spectroscopy in the presence of operating room light artifacts.

摘要: Invasive brain cancer cells cannot be visualized during surgery and so they are often not removed. These residual give rise to recurrences. In vivo Raman spectroscopy can detect these invasive in patients with grade 2 4 gliomas. The robustness of this signal dampened by spectral artifacts generated lights the operating room. We found that artificial neural networks (ANNs) overcome using nonparametric adaptive models complex nonlinear characteristics. Coupling ANN simplifies intraoperative use limiting changes required standard neurosurgical workflow. ability under conditions may reduce remaining after improve patient survival.