A supervised approach for automated detection of hemorrhages in retinal fundus images

Diabetic Retinopathy, also known as DR, is an eye disease in which the retina is damaged because of the leakage of blood from the retinal blood vessels. The major cause of DR is diabetes followed by hypertension. The irregular flow of the blood from the vessels into the retina leads to retinal hemorrhages. DR causes blindness. The early detection of DR can be aided with the presence of hemorrhages. An automatic system to diagnose retinal hemorrhages is suggested. The study involves the analysis of 4546 blobs from 50 retinal fundus images taken from the dataset. The proposed research algorithm achieved a sensitivity of 90.42%, specificity of 93.53%. The algorithm proposed in the research will aid the ophthalmologists for the automatic detection of hemorrhages and might be a helpful tool in medical imaging.

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