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Diabetic Retinopathy (DR) is the one among other main reasons of blindness in the adult population. Early discovery of DR through screening programs and successive treatment is critical in order to avoid visual blindness. The early signs of DR as manifested in retinal images include micro-aneurysms, hemorrhages and exudates. In this paper, we have presented an ensemble classifier of bootstrapped decision...
Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye related disease such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection and boundary segmentation, which can be seen as the preliminary step in the development of computer-assisted diagnostic system for glaucoma in retinal images...
Automatic retinal blood vessel extraction is very important for early diagnosis and prevention of several retinal diseases. In this paper, a new retinal vasculature segmentation algorithm is proposed based on mathematical morphology, principal curvature, non-maximal suppression and hysteresis thresholding based morphological reconstruction. The blood vessels are enhanced by applying the top-hat transformation...
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