Quantification of blood flow index in diffuse correlation spectroscopy using a robust deep learning method.

DCS-NET can robustly quantify blood flow measurements at considerable source-detector distances, corresponding to much deeper biological tissues. It has excellent potential for hardware implementation, promising continuous real-time blood flow measurements.