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Non-proliferative diabetic retinopathy detection using mathematical morphology

Authors: Bouacheria Mohamed; Cherfa Yazid; Belkhamsa Nourreddine; Benouadah Abdelmalek; Cherfa Assia;

Non-proliferative diabetic retinopathy detection using mathematical morphology

Abstract

Diabetes might be the cause of lots of visual troubles (when it is poorly controlled); it induces the thickening and hardening of the retina's blood vessels and prevents the accomplishment of its function suitably. Among the complications of diabetes on the eye, there is the diabetic retinopathy, which is considered as a major cause of blindness in the industrialized countries. This paper presents a system of fundus eye image analysis, whose purpose is the extraction of lesions related to the non-proliferative diabetic retinopathy (micro-aneurysm, hemorrhages and exudates). The detection of these lesions is essentially based on the detection of the non-pathological structures in the retina (blood vessels, optic disc and fovea) and their elimination in order to have just the pathological structures in the result.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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