UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905F43


Registration ID:
210938

Page Number

286-292

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Title

ASSESSMENT OF COMPUTATIONAL METHODS FOR THE ANALYSIS AND GRADATION OF DIABETIC RETINOPATHY FUNDUS IMAGES

Abstract

: Diabetes Mellitus (DM) is a sporadic ailment resulted hyperglycemia and affect various vital human organ. Prolonged history of DM will result in Diabetic Retinopathy (DR), a vision impediment. The patho is characterized with swollen blood capillaries get ruptured and leak blood and protein particles into the retinal fundus. These exuded particles gets clotted and are termed as exudates and obstruct the light flow towards the retinal walls and may lead to impermanent or permanent vision loss. Hence proper medication with expert screening and management will help to slow the progression of the complication. The reliability of traditional diagnosis and screening methods is purely dependent on clinician’s skills and expertise. It requires potential human labor and multiple resource management which make the disease diagnosis complex. With the advent of computer aided design tools various image processing methods are been presented by various authors for to detect the lesions in DR images and to classify them. Imaging devices can even be upgraded with these type of methods and can be helpful to make the clinician job more simple and effective. This paper reveals the literature of various work that are dedicated to DR detection, classification and gradation. The brief narration of these methods includes the objective, preprocessing, qualitative and statistical evaluation including the merits and demerits. Researchers can take the advantage of this literature paper so as opt a suitable approach either for up gradation or creation of novel works so as to overcome the flaws in the existing methods.

Key Words

Diabetes Mellitus (DM), Diabetic Retinopathy (DR), Retinal lesions

Cite This Article

"ASSESSMENT OF COMPUTATIONAL METHODS FOR THE ANALYSIS AND GRADATION OF DIABETIC RETINOPATHY FUNDUS IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.286-292, May-2019, Available :http://www.jetir.org/papers/JETIR1905F43.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"ASSESSMENT OF COMPUTATIONAL METHODS FOR THE ANALYSIS AND GRADATION OF DIABETIC RETINOPATHY FUNDUS IMAGES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp286-292, May-2019, Available at : http://www.jetir.org/papers/JETIR1905F43.pdf

Publication Details

Published Paper ID: JETIR1905F43
Registration ID: 210938
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 286-292
Country: tirupathi, ANDHRA PRADESH, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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