Classification of Pathological Signs for Diabetic Retinopathy Diagnosis using Image Enhancement Technique and Convolution Neural Network

Diagnosis of diabetic retinopathy (DR) involves visual examination of retinal images by ophthalmologist to detect pathological signs such as exudate, haemorrhage (HEM) and microaneurysm (MA). This process is conducted manually, therefore it is time-consuming and subjected to human error. This paper develops an automatic and intelligent machine learning algorithm for the detection of diabetic retinopathy (DR) in fundus image. It involves image...