Artery / Vein Classification in Retinal Images

ISBN-13: 9783659699023 / Angielski / Miękka / 2018 / 60 str.

Sharmila Ashok

Opis

The classification of retinal vessels into artery/vein (A/V) is an important phase for automating the detection of vascular changes, and for the calculation of characteristic signs associated with several systemic diseases such as diabetes, hypertension, and other cardiovascular conditions. This paper presents an automatic approach for A/V classification based on the analysis of a graph extracted from the retinal vasculature. The proposed method classifies the entire vascular tree deciding on the type of each intersection point (graph nodes) and assigning one of two labels to each vessel segment (graph links). Final classification of a vessel segment as A/V is performed through the combination of the graph-based labeling results with a set of intensity features.

O autorze

Ashok, Sharmila
I did B.E(EEE) in University of Madras from Jerusalem College of Engineering, Chennai and did M.E(A.E) in PSG College of Technology. Now, working as an Assistant Professor in School of Electrical Engineering, VIT University. My research interest is Bio-Medical Signal Processing.