Blood flow characterization in nailfold capillary using optical flow-assisted two-stream network and spatial-temporal image.

The blood flow velocity in the nailfold capillary is an important indicator of the status of microcirculation. The conventional manual processing method is both laborious and prone to human artifacts. A feasible way to solve this problem is to use machine learning to assist in image processing and diagnosis.