Abstract (EN):
The Arteriolar-to-Venular Ratio (AVR) is commonly used in studies for
the diagnosis of diseases such as diabetes, hypertension or cardio-vascular
pathologies. This paper presents an automatic approach for the estimation
of the Arteriolar-to-Venular Ratio (AVR) in retinal images. The proposed
method includes vessel segmentation, vessel caliber estimation, optic
disc detection, region of interest determination, artery/vein classification
and AVR calculation. The method was assessed using the images of
the INSPIRE-AVR database. A mean error of 0.05 was obtained when the
method¿s results were compared with reference AVR values provided with
this dataset, thus demonstrating the adequacy of the proposed solution for
AVR estimation.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
2
License type: