STOCHASTIC GRADIENT DESCENT ALGORITHM FOR GLAUCOMA DETECTION USING FREQUENCY DOMAIN FEATURES OF RETINAL IMAGES
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 9, Pages 1413-1417
AbstractGlaucoma is a category of eye disorders that are important for good vision and damage the optic nervous. The abnormally high pressure in your eye is often responsible for its damage. Glaucoma is one of the major blindness causes for people aged 60 or over. The glaucoma detection using Stochastic Gradient Descent (SGD) algorithm is described in this study. The input retinal images are given to frequency domain for feature extraction and SGD algorithm is used for detection. Experimental results show the performance of proposed system.
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