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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2014 Vol.6(2): 158-161 ISSN: 1793-8236
DOI: 10.7763/IJET.2014.V6.687

Glaucoma Detection Using Artificial Neural Network

Sheeba O., Jithin George, Rajin P. K., Nisha Thomas, and Sherin George
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.

Index Terms—Glaucoma, image processing, Matlab, neural network.

Sheeba O is with Department of Electronics & Communication, T.K.M. College of Engineering, Kerala, India(e-mail: shb.odattil@gmail.com)
Jithin George was with Robert BOSCH multinational engineering and electronics (automotive) company, headquartered in Gerlingen, near Stuttgart.
Rajin P.K is with Tata Consultancy Services Ltd, a reputed multinational IT services and outsourcing firm.
Nisha Thomas and Sherin George are with Tata Consultancy Services Ltd, a reputed multinational IT services and outsourcing firm.

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Cite:Sheeba O., Jithin George, Rajin P. K., Nisha Thomas, and Sherin George, "Glaucoma Detection Using Artificial Neural Network," International Journal of Engineering and Technology vol. 6, no. 2, pp. 158-161, 2014.

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