Abstract: The early detection of Glaucoma is very important to avoid blindness. In this paper, we present Glaucoma Detection using Neural Network. This is one of the innovative approaches to detect glaucoma using the latest Deep Learning techniques. The proposed method uses the ResNet Convolutional Neural Network to detect Glaucoma. Though there are various available techniques to detect Diabetic Retinopathy but nothing of such sort can be found for Glaucoma which gives such high accuracy. The given method is implemented in Python with a command line interface. Using ResNet we have detected Glaucoma with up to 96% accuracy.
Keywords: Glaucoma, ResNet, Convolutional Neural Network, Model.
Author: Glaucoma Detection Using Neural Network
Author: Utkarsh Tiwari, Pooja Mehta, Saloni Varma, Alay Shah, Asst. Prof. Sandhya Kadam
International Journal of Interdisciplinary Research and Innovations
ISSN 2348-1218 (print), ISSN 2348-1226 (online)
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