Microaneurysm-Based Diabetic Retinopathy Detection from Fundus Images

Author(s)	Janhvi Chauhan, Dhaval Modi
Country	India
Abstract	Through the precise extraction of the area and number of microaneurysms from colour fundus pictures, this research proposes an enhanced diabetic retinopathy detection system. Diabetic retinopathy must be detected and treated with routine eye screening. The eye condition known as diabetic retinopathy is brought on by long-term diabetes mellitus that damages the retina. Tiny red spots on the retina known as microaneurysms are formed by the swelling of a delicate blood artery segment. The first step in preventing DR is identifying MA in the primary stage, which is extremely important. Numerous techniques have been put forth for DR diagnosis and detection. Two features—the number and area of MA—have been established in this research. First, pre-processing methods such as morphological processing, histogram equalization, and green channel extraction were employed. Principal component analysis, Contrast Limited Adaptive Histogram Equalization, morphological processes, and average filtering have all been used to discover microaneurysms. DR has been classified using a Support Vector Machine.
Keywords	Retinal Blood Vessels, Support Vector Machine, Microaneurysm, Exudates
Field	Engineering
Published In	Volume 5, Issue 4, April 2024
Published On	2024-04-05
Cite This	Microaneurysm-Based Diabetic Retinopathy Detection from Fundus Images - Janhvi Chauhan, Dhaval Modi - IJLRP Volume 5, Issue 4, April 2024.

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