Glaucoma detection using artificial neural network

Abstract

Glaucoma is the term applied to a group of eye diseases that gradually result in loss of vision by permanently damaging the optic nerve, the nerve that transmits visual images to the brain. Here the detection of glaucoma is done by image processing. The screening of patients for the development of glaucoma potentially reduces the risk of blindness in these patients by 50%. Here neural network is trained to recognize the parameters for the detection of different stages of the disease. The neuron model has been developed using feed forward back propagation network. Here the program is developed using Matlab. The images acquired using medical imaging techniques are analysed in Matlab. Matlab provide variety of options for image processing that enable us to extract the required features and information from the images. The software can be used to detect the early stages of glaucoma.