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Conference Proceeding

Infrastructure for Retinal Image Analysis

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Abstract

This paper introduces a retinal image analysis infrastructure for the automatic assessment of biomarkers related to early signs of diabetes, hypertension and other systemic diseases. The developed application provides several tools, namely normalization, vessel enhancement and segmentation, optic disc and fovea detection, junction detection, bifurcation/crossing discrimination, artery/vein classification and red lesion detection. The pipeline of these methods allows the assessment of important biomarkers characterizing dynamic properties of retinal vessels, such as tortuosity, width, fractal dimension and bifurcation geometry features.

Keywords: Retina, biomarkers, diabetes, orientation scores, curvature, vessel segmentation, artery/vein classification, bifurcation, optic disc, fovea, microaneurysm, fractal dimension

How to Cite:

Dashtbozorg, B., Abbasi-Sureshjani, S., Zhang, J., Huang, F., Bekkers, E. & Haar Romeny, B. t., (2016) “Infrastructure for Retinal Image Analysis”, Proceedings of the Ophthalmic Medical Image Analysis International Workshop Archive 3(2016), 105-112. doi: https://doi.org/10.17077/omia.1053

Rights: Copyright © 2016 the authors

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Published on
2016-10-21

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