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

Quan Wang Mingliang Pan Zhenya Zang David Day-Uei Li

Published in: Journal of biomedical optics (2024)

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.

Keyphrases

blood flow
deep learning
primary care
healthcare
gene expression
high resolution
low grade
single molecule
machine learning
magnetic resonance
convolutional neural network
risk assessment
image quality
high grade