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A fuzzy logic approach to drusen detection in retinal angiographic images

Authors: A. Thaïbaoui; A. Raji; Philippe Bunel;

A fuzzy logic approach to drusen detection in retinal angiographic images

Abstract

Drusen are yellow deposits at the level of the retinal pigment and are frequently associated with age-related macular degeneration (ARMD). Drusen often change in size, number and degree of confluence. A quantitative method to measure the development of drusen is needed for controlled studies of the natural history, prognosis, and tertenant of ARMD. A novel method to detect drusen is presented. This method proceeds in two steps: an optimal partition followed by a fuzzy logic approach. The proposed method is used to quantify objectively drusen over time, it constitutes a diagnosis help tool to the long term follow-up of patients.

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Powered by OpenAIRE graph
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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!
7
Average
Top 10%
Average
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