Author : Tejaswini G M 1
Date of Publication :10th May 2017
Abstract: Medical analysis is one of the fastest growing fields where a lot of recordings of patients are analyzed. Many researchers finding new technologies to automate the way of detection of the disease. Diabetic Retinopathy is one of the complex diabetics which can cause vision loss. Diabetic Retinopathy is detected by the presence of microaneurysms and exudates in the color fundus image of the eye. This work examines the analyzing capabilities in the texture of color fundus images to differentiate between diseased and healthy images. Aiming this, the performance of Local Binary Patterns as a texture descriptor for retinal images has been explored. The performance of the proposed algorithm is analyzed using parameters like sensitivity, specificity, and accuracy.
Reference :
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