Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Diagnosis of Retinal Disease Using Retinal Blood Vessel Extraction Subject The topic of the resource ANN classifier; Boundary extraction; Feature extraction; Image processing techniques; Retinal disease; Segmentation; SVM classifier Description An account of the resource The eye is one of the important organs of the human body. In recent times, major parts of the eye are damaged due to various retinal diseases. Major diseases related to the retina are glaucoma, papilledema, retinoblastoma, diabetic retinopathy, and macular degeneration. These diseases can be detected using image processing techniques. These diseases can cause damage to the eye; hence the early diagnosis can prevent the loss of vision. Thus the early stage of rectification may lead to smaller damage than the risky ones. By extracting the blood vessels, various retinal diseases can be identified, and the severity of the disease can also be identified. Some of these diseases in the retina will occur due to hypertension, blood pressure, and diabetics. Thus, the tear in the blood vessels leads to the loss of visuality in human beings. The proposed work consists of image processing techniques such as segmentation, feature extraction, and boundary extraction which lead to the identification of various retinal diseases with a certain level of accuracy, sensitivity, and specificity by using image processing techniques. The training and testing of retinal images are carried out by using the artificial neural network (ANN) classifier for glaucoma detection and support vector machine (SVM) classifier for detecting diabetic retinopathy. 2021, Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Paulchamy B.; Chidambaram S.; Jaya J.; Maheshwari R.U. Source A related resource from which the described resource is derived EAI/Springer Innovations in Communication and Computing, pp. 343-359. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-49795-8_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-49795-8_34</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097845282&amp;doi=10.1007%2F978-3-030-49795-8_34&amp;partnerID=40&amp;md5=29267513fa85440f1af0b95d73f1fd15" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097845282&amp;doi=10.1007%2f978-3-030-49795-8_34&amp;partnerID=40&amp;md5=29267513fa85440f1af0b95d73f1fd15</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25228595; ISBN: 978-303049794-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paulchamy B., Hindusthan institute of technology, Coimbatore, India; Chidambaram S., Christ University, Bangalore, India; Jaya J., Akshya College of Engineering and Technology, Coimbatore, India; Maheshwari R.U., Crisp System Pvt Ltd, Coimbatore, India