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 Articles Article Faculty Publications -Articles 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 Towards developing an automated technique for glaucomatous image classification and diagnosis (AT-GICD) using neural networks Subject The topic of the resource ANN; Feature extraction; Fundus image; Glaucomatous image classification; Histogram gradients; Wavelet energy Description An account of the resource Glaucoma is the eye defect that has become the second leading cause of blindness worldwide and also stated as incurable, may cause complete vision loss. The earlier diagnosis of glaucoma in Human Eye is a great confrontation and very important in present scenario, for providing efficient and appropriate treatments to the persons. Though there is much advancement in Ocular Imaging that affords methods for earlier detection, the appropriate results can be obtained by integrating the data from structural and functional evaluations. With that note, this paper involves in developing automated technique for glaucomatous image classification and diagnosis (AT-GICD). The model considers both the textural and energy features for effectively diagnosing the defect. Image Segmentation is processed for obtaining the exact area of optic nerve head; histogram gradient based conversion is employed for enhancing the fundus image features. Further, Wavelet Energy features are extracted and applied to the artificial neural networks (ANN) for classifying the NORMAL and GLAUCOMA images. The Accuracy rate based comparison with other existing models is carried out for evidencing the effectiveness of the proposed model in glaucomatous image classification. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management. Creator An entity primarily responsible for making the resource Karthikeyan M.P.; Mary Anita E.A.; Mohana Geetha D. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore), Vol-15, No. 7, pp. 3727-3739. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s41870-023-01313-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-023-01313-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171707225&amp;doi=10.1007%2Fs41870-023-01313-8&amp;partnerID=40&amp;md5=827c2207085cc3fa617d9ccb5d5ea390" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171707225&amp;doi=10.1007%2fs41870-023-01313-8&amp;partnerID=40&amp;md5=827c2207085cc3fa617d9ccb5d5ea390</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Karthikeyan M.P., Department of CSE, R.M.K Engineering College, Chennai, India; Mary Anita E.A., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Mohana Geetha D., Department of ECE, Sri Krishna College of Engineering and Technology, Kuniyamuthur, India