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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">4168</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url">http://dx.doi.org/10.31782/IJCRR.2021.132012</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>A Novel Dataset __ampersandsignlsquo;Aravind__ampersandsignrsquo; for Retinal Image Analysis&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Maheswari</surname><given-names>M. Vijaya</given-names></name></contrib><contrib contrib-type="author"><name><surname>Murugeswari</surname><given-names>G.</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>24</day><month>10</month><year>2021</year></pub-date><volume>0)</volume><issue/><fpage>52</fpage><lpage>56</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: Diabetes is a disorder or a metabolic disease that increases the level of sugar in the blood. Untreated diabetes can cause serious issues to the eye. There are quite a several research works carried out in retina image analysis. For retinal image analysis, there are multifarious datasets available freely for research. Aim: The objective of the article is to introduce a new dataset namely __ampersandsignlsquo;ARAVIND__ampersandsignrsquo; for retina image analysis for research purposes. Method: This dataset incorporates 98 images altogether which helps in pinpointing different types of eye defects like hemorrhages, microaneurysms, hard and soft exudates. Conclusion: The __ampersandsignlsquo;ARAVIND__ampersandsignrsquo; dataset is freely available online that can be used by computer researchers in the field of medical image analysis which bridges the gap between the field of technology and science to a greater extent.&#13;
</p></abstract><kwd-group><kwd>Dataset</kwd><kwd> Exudates</kwd><kwd> Hemorrhages</kwd><kwd> Micro aneurysm and Retina</kwd></kwd-group></article-meta></front></article>
