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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1812843


Registration ID:
193850

Page Number

270-272

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Title

A Review on the importance of Rnfl Segmentation in OCT images for Glaucoma detection

Abstract

Glaucoma is a condition defined as loss of retinal ganglion cell axons, which can lead to perpetual vision loss, if not diagnosed and treated at the right time. Over years, OCT is described to be the best diagnostic approach to glaucoma detection. This paper aims at describing various approaches and techniques of glaucoma detection, from OCT images and to conclude in accordance a review overall about the importance of Retinal Nerve Fiber Layer(RNFL) segmentation, a modern and appropriate method for the accurate confirmation of glaucoma in the results of OCT images

Key Words

Glaucoma, OCT, RNFL.

Cite This Article

"A Review on the importance of Rnfl Segmentation in OCT images for Glaucoma detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.270-272, December-2018, Available :http://www.jetir.org/papers/JETIR1812843.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

"A Review on the importance of Rnfl Segmentation in OCT images for Glaucoma detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp270-272, December-2018, Available at : http://www.jetir.org/papers/JETIR1812843.pdf

Publication Details

Published Paper ID: JETIR1812843
Registration ID: 193850
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 270-272
Country: Pallavaram,Chennai, Tamil Nadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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