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A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis
ابزار اتوماتیک شده پیشگیری ا از رتینوپاتی دیابتی بر اساس تجزیه و تحلیل کامپیوتری تصویر شبکیه-2017 Aim: This paper presents a methodology and first results of an automatic detection system of first signs of Diabetic
Retinopathy (DR) in fundus images, developed for the Health Ministry of the Andalusian Regional Government
(Spain).
Material and methods: The system detects the presence of microaneurysms and haemorrhages in retinography by
means of techniques of digital image processing and supervised classification. Evaluation was conducted on 1058
images of 529 diabetic patients at risk of presenting evidence of DR (an image of each eye is provided). To this
end, a ground-truth diagnosis was created based on gradations performed by 3 independent ophthalmology
specialists.
Results: The comparison between the diagnosis provided by the system and the reference clinical diagnosis shows
that the system can work at a level of sensitivity that is similar to that achieved by experts (0.9380 sensitivity per
patient against 0.9416 sensitivity of several specialists). False negatives have proven to be mild cases. Moreover,
while the specificity of the system is significantly lower than that of human graders (0.5098), it is high enough to
screen more than half of the patients unaffected by the disease.
Conclusion: Results are promising in integrating this system in DR screening programmes. At an early stage, the
system could act as a pre-screening system, by screening healthy patients (with no obvious signs of DR) and
identifying only those presenting signs of the disease. Keywords:Diabetic retinopathy | Early detection system | Automated screening | Retinal image processing | Computer-aided diagnosis |
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