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  2. Volume 7, Issue 8
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Online ISSN: 2515-8260

Volume7, Issue8

Early Detection Of Cardio Vascular Disease From The Fundus Images Of The Retina Using Convolutional Neural Network

    P. Glaret Subin , P. Rathina kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 8, Pages 2319-2324

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Abstract

The Retina is exclusive in your body in permitting simple perception of veins with nonintrusive instruments. It is additionally the main available site for considering the focal sensory system. Changes to the retina may appear in a few chronic disease’s prior years different signs evident. Therefore, considering the retina may give an extra way to delineate hazard and help distinguish individuals who reap the benefits of early lifestyle changes and preventive therapies. This paper attempts to use image processing ways to study the human retina for early detection of cardio vascular disease using convolution neural network with a prediction accuracy of 0.94.
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(2020). Early Detection Of Cardio Vascular Disease From The Fundus Images Of The Retina Using Convolutional Neural Network. European Journal of Molecular & Clinical Medicine, 7(8), 2319-2324.
P. Glaret Subin , P. Rathina kumar. "Early Detection Of Cardio Vascular Disease From The Fundus Images Of The Retina Using Convolutional Neural Network". European Journal of Molecular & Clinical Medicine, 7, 8, 2020, 2319-2324.
(2020). 'Early Detection Of Cardio Vascular Disease From The Fundus Images Of The Retina Using Convolutional Neural Network', European Journal of Molecular & Clinical Medicine, 7(8), pp. 2319-2324.
Early Detection Of Cardio Vascular Disease From The Fundus Images Of The Retina Using Convolutional Neural Network. European Journal of Molecular & Clinical Medicine, 2020; 7(8): 2319-2324.
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