Abstract
In this paper we describe a new method to approach the diameter of veins and arteries in the retina vascular tree, focusing not only on precision and reliability, but also on suitability for on-line assistance. The performed system may analyze the region of interest selected in the image to estimate the retinal arteriovenous index. This analysis involves two different steps: the blood vessels detection, which extracts the vascular structures present in the image, and the blood vessel measurement, which estimates the caliber of the already located vessels. The method may locate 90% of the structures, giving a reliability of 99% in detection and 95% in measurement. © Springer-Verlag 2004.
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Caderno, I. G., Penedo, M. G., Mariño, C., Carreira, M. J., Gomez-Ulla, F., & Gonzalez, F. (2004). Automatic extraction of the retina AV index. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 132–140. https://doi.org/10.1007/978-3-540-30126-4_17
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