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What is Automated Detection of Diabetic Retinopathy about?

This document provides an introduction to diabetic retinopathy detection. It discusses how diabetic retinopathy is a leading cause of blindness and the need for automated detection systems given the growing diabetic population. The proposed system uses fundus images and extracts normal and abnormal features like microaneurysms to analyze and grade diabetic retinopathy severity. Pre-processing techniques and methods like matched filtering and morphological operations are used to detect microaneurysms, which

Author

Ravi Kumar

Language

EN