Automatic recognition of retinopathy diseases by using wavelet based neural network

In this study, recognition of five types of retina disorders and normal retina has been studied. The names of these five different Retinopathies are: Diabetic Retinopathy, Hypertensive retinopathy, Macular Degeneration, Vein Branch Oclusion, Vitreus hemorrhage, and normal retina. A wavelet based neural network architecture has been used to diagnose retinopathy automatically. In the process, the retina images were pre-processed and resized. Later, feature extraction has been done before applying into classifier. The performance of proposed method has been found very high. The recognition rates were found %50, %70, %83, %90, %93 and %95 for testing five retinopathy cases respectively.