A Neuro-Fuzzy Inference Model for Diabetic Retinopathy Classification
Mohammed Imran and Sarah A. Alsuhaibani, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
Abstract
Diabetic retinopathy (DR) is one of the major leading diseases of vision loss in middle-aged men and women. It refers to the changes that happen to the retina of individuals suffering from diabetes for a long time. In this chapter, we present the results from using the Adaptive Neuro-Fuzzy Inference System (ANFIS) to classify the retina’s level of damage caused by DR to four classes (low, moderate, high, and not damaged). Initially, a dataset was built out of the publicly available DIARETDB0 dataset, ...
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