A Survey on Detection of Diabetic Retinopathy and Glaucoma from Fundus Images

Medical imaging is the process of visual representations of the interior of a body for clinical analysis and medical intervention. Detection of diabetic retinopathy and glaucoma from fundus image reduce the need of more ophthalmologists. This work involves the review of several detection and classification techniques. These mechanisms are compared and the results are examined using the parameters such as True Negative Rate (TNR), False Positive Rate (FPA), False Negative Rate (FNR) and True Positive Rate (TPR), Peak signal to Noise Ratio (PSNR), Mean Square Error Rate