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  Published Paper Details:

  Paper Title

An Automated Prediction model for Diabetic Retinopathy using CNN

  Authors

  Shreekar Chinthala.,  Sowmya Doneti.,  Rashmitha Jitta.

  Keywords

Diabetic retinopathy, CNN, VGG-16, NUMPY, TENSORFLOW

  Abstract


Diabetic Retinopathy (DR) is an eye complaint related with periodic diabetes. DR is the driving cause of visual deficiency among working matured grown-ups around the world and evaluated it may influence assist than 93 million individuals. Movement to vision impedance can be braked or controlled in the event that DR is recognized in time, still this may be fragile as the complaint regularly appears numerous side effects until it's as well late to give effective treatment. by and by, recognizing DR may be a time- devouring and custom made handle, which needs an ophthalmologist or prepared clinician to look at and gauge computerized color fundus photographs of the retina, to distinguish DR by the nearness of injuries related with the vascular variations from the norm caused by the complaint. The computerized framework of DR webbing will speed up the disclosure and choice- making handle, which can offer assistance to control or oversee DR movement. This paper presents an robotized bracket framework, in which it analyzes fundus pictures with changing light and areas of see and produces a rigidity review for diabetic retinopathy (DR) utilizing machine proficiency models comparative as CNN, VGG-16.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5514

  Paper ID - 236994

  Page Number(s) - M812-M816

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Shreekar Chinthala.,  Sowmya Doneti.,  Rashmitha Jitta.,   "An Automated Prediction model for Diabetic Retinopathy using CNN", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.M812-M816, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5514.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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