An Automated Approach for Screening Microaneurysms and Exudates of NPDR Patient

  • Lakshika Nanayakkara
  • Nihal Kodikara

Abstract

Non-proliferative Diabetic Retinopathy is a health
problem which is prevalent in diabetic patients. It is caused
by the expansion of untwisted blood vessels that over time,
result in microaneurysms, haemorrhages, and exudates in the
retina. This is the preliminary reason for visual impairment
and eventual blindness in adults. These retinal anomalies can
be identified using fundus images. This paper proposes a novel
approach for classifying microaneurysms and exudates of Nonproliferative
Diabetic Retinopathy (NPDR) patients, using digital
image processing and support vector machine. The datasets
used for the study were gathered from Vision Care (Pvt) Ltd,
National Eye Hospital and publicly available catalogues such
as DRIVE and STARE. User level evaluation conducted with
40 candidates showed a 100% and 84.2% success rates for
detecting NPDR retinal abnormalities and exudates respectively.
In addition to that through evaluation results indicate that the
proposed approach microaneurysms lesion identification yields
much better accuracy than the exudates.

Published
2018-02-23
How to Cite
NANAYAKKARA, Lakshika; KODIKARA, Nihal. An Automated Approach for Screening Microaneurysms and Exudates of NPDR Patient. GSTF Journal on Computing (JoC), [S.l.], v. 5, n. 4, feb. 2018. ISSN 2010-2283. Available at: <http://dl6.globalstf.org/index.php/joc/article/view/1307>. Date accessed: 20 aug. 2018.