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@article{155921,
        author = {Rajinder Kaur and Rachna Rajput},
        title = {A STUDY ON DIABETIC RETINOPATHY DETECTION USING NN APPROACH},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {2},
        pages = {411-420},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155921},
        abstract = {Diabetes retinopathy is the application of clinical picture preparing. The retinal filmland are assessed to dissect theDR. It is, be that as it may, tedious and asset requesting to physically review the filmland to such an extent that the soberness of DR can be characterized. At the point when the minor modes present inside the retina are harmed, at exactly that point would one be suitable to see this issue. Blood will unmask out of this minor tone and highlights are shaped from the liquid that exists on the retina. The feathers of highlights needed then because of the spillage of liquid and blood from the modes are viewed as the most significant rudiments to consider this issue. In this paper colorful issues are surveyed and all these are settled with the backing of probabilistic NN way to deal with arrangement of diabetes peak from the picture and the outgrowth is assessed with the backing of PSNR, MSE and Entropy that's determined in future. The proposed model will be executed in MATLAB.},
        keywords = {Diabetes retinopathy, NN, Optical Disk Segmentation},
        month = {},
        }