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 Smart Phone based Fundus Imaging for Diabetic Retinopathy Detection Subject The topic of the resource deep learning; diabetic retinopathy; Fundus imaging; smartphone-based fundus imaging Description An account of the resource INTRODUCTION: Diabetic retinopathy (DR) is one of the consequences of diabetes which if untreated may lead to loss of vision. Generally, for DR detection, retinal images are obtained using a traditional fundus camera. A recent trend in the acquisition of eye fundus images is the usage of smartphones to acquire images. OBJECTIVES: This paper focuses on the study of existing works which incorporated smartphones for obtaining fundus images and various devices available in the market. Also, the common datasets used for carrying out DR detection using smartphone-based fundus images as well as the classification models used for the diagnosis of DR are explored. METHODS: A search of information was carried out on articles based on DR detection from fundus images published in the state-of-the-art literatures. RESULTS: Majority of the works uses SBFI devices like 20D lens, EyeExaminer etc. to obtain fundus image. The common databases used for the study are EyePACS, Messidor, etc. and the classification models mostly rely on deep learning frameworks. CONCLUSION: The use of smartphones for capturing fundus images for DR detection are explored. Smartphone devices, datasets used for the study and currently available classification models for SBFI based DR detection are discussed in detail. This paper portrays various approaches currently being employed in SBFI based DR detection. 2023 A. Benjamin et al. Creator An entity primarily responsible for making the resource Benjamin A.; Wahid F.F.; Jenefa J. Source A related resource from which the described resource is derived EAI Endorsed Transactions on Pervasive Health and Technology, Vol-9 Publisher An entity responsible for making the resource available European Alliance for Innovation 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/10.4108/eetpht.9.4376" target="_blank" rel="noreferrer noopener">https://doi.org/10.4108/eetpht.9.4376</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&amp;doi=10.4108%2Feetpht.9.4376&amp;partnerID=40&amp;md5=7d67b3d8f313f05c0b1a0e8b95ea96c3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178320866&amp;doi=10.4108%2feetpht.9.4376&amp;partnerID=40&amp;md5=7d67b3d8f313f05c0b1a0e8b95ea96c3</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 24117145 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 Benjamin A., Department of Artificial Intelligence and Machine Learning, CMR Institute of Technology, Karnataka, Bengaluru, 560037, India; Wahid F.F., Department of Information Technology, Kannur University, Kerala, Kannur, 670567, India; Jenefa J., Department of Computer Science and Engineering, Christ (Deemed to be University), Kengeri Campus, Karnataka, Bengaluru, 560074, India