Artery / Vein Classification in Retinal Images - Ashok, Sharmila
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
J'ai fait mon B.E(EEE) à l'Université de Madras, au Jerusalem College of Engineering, Chennai, et mon M.E(A.E) au PSG College of Technology. Je travaille actuellement comme professeur adjoint à l'école d'ingénierie électrique de l'université VIT. Mes recherches portent sur le traitement des signaux biomédicaux.