Abstract
In this work a computational approach for detecting and quantifying
diabetic retinopathy is proposed. Particular attention has been paid
to the study of Foveal Avascular Zone (FAZ).
In fact, retinal capillary occlusion produces a FAZ enlargement.
Moreover, the FAZ is characterized by qualitative changes showing an
irregular contour with notchings and indentations.
Our study is mainly focused on the analysis of the FAZ and on the
extraction of a proper set of features to quantify FAZ alterations in
diabetic patients.
We tried to extract features which can capture not only the size of
the object, but also its shape and spatial orientation.
The theory of moments provides an interesting and useful way for
representing the shape of objects.
We used a set of region and boundary moments to obtain a FAZ
description which is complete enough for diagnostic purposes and in
order to assess the effectiveness of moment descriptors we
performed several classification experiments to discriminate diabetic
from non-diabetic subjects.
The theory of moments provided us with an interesting and useful tool
for representing the shape characteristics.
In this way we were able to transform the qualitative description of
the FAZ used by ophthalmologists into quantitative measurements.
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Poster Number PAballerini0155
Keywords: diabetic retinopathy,FAZ alterations,shape analysis,moment theory
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