Artery/vein classification of blood vessel tree in retinal imaging
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http://hdl.handle.net/2183/36998
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España
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- Investigación (FIC) [1576]
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Artery/vein classification of blood vessel tree in retinal imagingFecha
2017Cita bibliográfica
Moura, J. de; Novo, J.; Ortega, M.; Barreira, N. and Charlón, P. (2017). Artery/vein Classification of Blood Vessel Tree in Retinal Imaging. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP; ISBN 978-989-758-225-7; ISSN 2184-4321, SciTePress, pages 371-377. DOI: 10.5220/0006135003710377
Resumen
[Absctract]: Alterations in the retinal microcirculation are signs of relevant diseases such as hypertension, arteriosclerosis,
or diabetes. Specifically, arterial constriction and narrowing were associated with early stages of hypertension.
Moreover, retinal vasculature abnormalities may be useful indicators for cerebrovascular and cardiovascular
diseases. The Arterio-Venous Ratio (AVR), that measures the relation between arteries and veins, is one
of the most referenced ways of quantifying the changes in the retinal vessel tree. Since these alterations
affect differently arteries and veins, a precise characterization of both types of vessels is a key issue in the
development of automatic diagnosis systems. In this work, we propose a methodology for the automatic
vessel classification between arteries and veins in eye fundus images. The proposal was tested and validated
with 19 near-infrared reflectance retinographies. The methodology provided satisfactory results, in a complex
domain as is the retinal vessel tree identification and classification.
Palabras clave
Retinal imaging
Vascular tree
Segmentation
Artery/vein classification
Vascular tree
Segmentation
Artery/vein classification
Descripción
The conference was held in Porto, Portugal, 27 February - 1 March, 2017.
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Derechos
Atribución-NoComercial-SinDerivadas 3.0 España
ISBN
9789897582257