A graph based approach can be used to classify artery/vein density and thereby do a estimate for the intensity of a disease. The artery/vein map is obtained from a retinal image and then processed to obtain a corresponding graph that corresponds to the particular intensity of the disease/condition.
It is easy to verify that the arterial or the vein graphs are undirected, tree-like. The reason is due to the lack of cycles concerning the blood flow. By looking at graph structure one can derive useful properties particular to the vein and the artery separately. The separation problem hence deals with classification with respect each of these properties. Some of the properties that are looked into are the angle subtended and the connectivity of the graph.
A graph theoretic approach has been in development in DSP, known as Signal Processing on Graphs. Certain viewpoints becomes a lot more simpler in this domain.
It is easy to verify that the arterial or the vein graphs are undirected, tree-like. The reason is due to the lack of cycles concerning the blood flow. By looking at graph structure one can derive useful properties particular to the vein and the artery separately. The separation problem hence deals with classification with respect each of these properties. Some of the properties that are looked into are the angle subtended and the connectivity of the graph.
A graph theoretic approach has been in development in DSP, known as Signal Processing on Graphs. Certain viewpoints becomes a lot more simpler in this domain.
A joint work with students of Communication Engineering for the course Estimation and Detection
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