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  Published Paper Details:

  Paper Title

A SURVEY ON GLAUCOMA DIAGNOSIS USING ARTIFICIAL INTELLIGENCE

  Authors

  Dr.J.Jasmine,  S. Evangeline Aishwarya

  Keywords

OCT, macular edoema, diabetic retinopathy, glaucoma, and retinal diagnostic imaging

  Abstract


Glaucoma is one of the disorders that harms eye vision and gets worse over time. Internal ocular pressure increase is the cause of it. The development of optical coherence tomography (OCT) in retinal diagnostic imaging is the most important. Multiple methods are used to detect glaucoma, including macular edoema, blood vessels, the visual disc, and the optic nerve. The major objective of this essay is to explain to readers why it is unusual to find glaucoma in diabetic retinopathy and how various procedures are utilised to do so. It incorporates a number of technologies and different inputs. It also offers information on the open data sets that are used to develop and evaluate algorithms.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2306070

  Paper ID - 238995

  Page Number(s) - a627-a631

  Pubished in - Volume 11 | Issue 6 | June 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.J.Jasmine,  S. Evangeline Aishwarya,   "A SURVEY ON GLAUCOMA DIAGNOSIS USING ARTIFICIAL INTELLIGENCE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 6, pp.a627-a631, June 2023, Available at :http://www.ijcrt.org/papers/IJCRT2306070.pdf

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ISSN: 2320-2882
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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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