RHINO is a reliable, automated, and ecient retinal health information and notication system which can extract a wealth of geometric biomarkers in large volumes of fundus images.
This fully automated software includes vessel enhancement and segmentation, artery/vein classication, optic disc, fovea, and vessel junction detection, and bifurcation/crossing discrimination. Pipelining these tools allows the assessment of several quantitative vascular biomarkers: width, curvature, bifurcation geometry features and fractal dimension. The brain-inspired algorithms outperform most of the state-of-the-art techniques. Moreover, several annotation tools are
implemented in RHINO for the manual labeling of arteries and veins, marking optic disc and fovea, and delineating vessel centerlines.