Glaucoma Detection Using AI Based Hybrid Approach
Published: 2019
Author(s) Name: Abhishek, Raghvendra Singh and Anand Sharma |
Author(s) Affiliation: Reliance Infocomm Limited, Reliance Corporate IT Park, Mumbai, India.
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Abstract
A continual increment of glucose level in the human blood vessels is described as Diabetes. This has turned out to be a standout amongst the most quickly expanding well-being dangers around the world. As indicated, a sum of 20.8M individuals which means a percentage of seven of the created nations populace have suffer from diabetes in that just 14.6M cases are analyzed. The most widely recognized diabetic eye illness is Diabetic retinopathy which happens when veins in the retina switches anomalous. Diabetic retinopathy (DR) are of two types: Proliferative diabetic retinopathy (PDR) and Non-proliferative diabetic retinopathy (NPDR). That is a noteworthy reason for visual impairment of different age groups. A bit previous recognition for the illness by means of consistent obligatory screening is especially imperative to maintain an eye fitness by avoiding vision loss. The main concern is to build up a framework fit for distinguishing diabetic retinopathy on its prior stage then it tends to be restored at the earliest opportunity. This incorporates the capacity for deciding and groupifying pictures to guarantee quick consideration and cure.
Keywords: Diabetes, Fuzzy logic, Glaucoma detection, Retina.
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