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  Published Paper Details:

  Paper Title

AN AI-BASED DIABETIC RETINOPATHY DETECTION USING RETINAL IMAGES

  Authors

  S PRIYA,  S MAHALAKSHMI,  S GOKUL SURENDRA KUMAR,  B BALAJI,  S SHOBANA

  Keywords

Vision loss, Artificial intelligence, Diagnosis

  Abstract


Diabetic Retinopathy (DR) has been considered to be the most menacing eye-related disease which causes blindness or vision loss in the long run if not identified early. Because DR is not an irreversible procedure and only vision is preserved via care. Consequently, Early diagnosis and care with DR will significantly minimize the chance of vision loss. Thus an efficient computing method has to be employed to facilitate the detection of DR from retinal images. Digital image processing is one such method where it influences the medical field. In this paper, a DR detection technique, involving an artificial intelligence approach by utilizing a retinal image, where a funds image has been obtained from a patient's retina.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT24A3264

  Paper ID - 254557

  Page Number(s) - k726-k733

  Pubished in - Volume 12 | Issue 3 | March 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  S PRIYA,  S MAHALAKSHMI,  S GOKUL SURENDRA KUMAR,  B BALAJI,  S SHOBANA,   "AN AI-BASED DIABETIC RETINOPATHY DETECTION USING RETINAL IMAGES", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.k726-k733, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A3264.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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