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Statistics report
Apr
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper


Paper Title :
Detection of Diabeties Retinopathy with Convolutional Neural Network and Image Processing

Author :Siddharth Madhav, Syed Maasir Azeem Husain

Article Citation :Siddharth Madhav ,Syed Maasir Azeem Husain , (2022 ) " Detection of Diabeties Retinopathy with Convolutional Neural Network and Image Processing " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 135-139, Volume-10,Issue-3

Abstract : Abstract - In this Paper we have shown a method of Detecting Diabeties Retinopathy using Image Processing and Convolutional Neural Network . CNN or Convolutional Neural Network is Part of Deep Learning which is a blueprint of deep Neural Networks and it is mainly used for analyzing visual imagery , where as Image Processing is when an algorithm is designed to process an image and use Computer Vision to recognize a pattern or give an output. We would be using applying these concepts in MATLAB Programming to detect Diabeties Retinopathy which is one of the major causes of blindness in the world. Keywords - MATLAB, Diabeties Retinopathy, Retina, Process, Neural Networks

Type : Research paper

Published : Volume-10,Issue-3


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-19030   View Here

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