{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:53:55Z","timestamp":1775145235101,"version":"3.50.1"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,24]],"date-time":"2024-06-24T00:00:00Z","timestamp":1719187200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,24]]},"DOI":"10.1109\/icccnt61001.2024.10725492","type":"proceedings-article","created":{"date-parts":[[2024,11,4]],"date-time":"2024-11-04T23:06:46Z","timestamp":1730761606000},"page":"1-5","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the Landscape of Diabetic Retinopathy Diagnosis: Insights from Extensive Literature Review and Preliminary Fundus Image Analysis"],"prefix":"10.1109","author":[{"given":"Peddapullaiahgari","family":"Hariobulesu","sequence":"first","affiliation":[{"name":"Jawaharlal Nehru Technological University, Anantapur,Ananthapuramu"}]},{"given":"Fahimuddin","family":"Shaik","sequence":"additional","affiliation":[{"name":"Annamacharya Institute of Technology and Science, \naffiliated with Jawaharlal Nehru Technological University Anantapur, Ananthapuramu"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajoc.2022.101435"},{"key":"ref2","first-page":"1097","article-title":"Diabetic retinopathy grading using blended deep learning, Procidia Comupter Science","volume-title":"J. Clerk Maxwell, A Treatise on Electricity and Magnetism","volume":"3","author":"Fernando","year":"2023"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/2159702"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics10010024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8960132"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119557"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2022.12.041"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/jpm11121276"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"5173","DOI":"10.1007\/s11042-020-09793-7","article-title":"Adaptive machine learning classification for diabetic retinopathy","volume":"80","author":"Math","year":"2021","journal-title":"Multimed Tools Appl"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947484"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1186\/s40537-023-00757-w","article-title":"Automated Segmentation of Choroidal neovascularization on optical coherence tomography angiography images of neovascular age-related macular degeneration patients based on deep learning","volume":"10","author":"Feng","year":"2023","journal-title":"Journal of Big Data"},{"issue":"7404","key":"ref12","article-title":"Automated Region of Interest Selection Improves Deep Learning-Based Segmentation of Hyper-Reflective Foci in Optical Coherence Tomography Images","volume":"11","author":"Goel","year":"2022","journal-title":"J. Clin. Med"},{"key":"ref13","volume":"2021","author":"Nagasawa","journal-title":"Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography, Applications of Artificial Intelligence in Modern Ophthalmology Practice"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"34387","DOI":"10.1109\/ACCESS.2020.2974158","article-title":"Accurate Detection of Non-Proliferative Diabetic Retinopathy in Optical Coherence Tomography Images Using Convolutional Neural Networks","volume":"8","author":"Ghazal","year":"2020","journal-title":"IEEE Access"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1109\/CBMS.2019.00066","article-title":"Identifying Diabetic Retinopathy from OCT Images using Deep Transfer Learning with Artificial Neural Networks","volume-title":"2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS)","author":"Islam","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2004.825627"}],"event":{"name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","location":"Kamand, India","start":{"date-parts":[[2024,6,24]]},"end":{"date-parts":[[2024,6,28]]}},"container-title":["2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10723818\/10723316\/10725492.pdf?arnumber=10725492","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T16:53:26Z","timestamp":1732726406000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10725492\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,24]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/icccnt61001.2024.10725492","relation":{},"subject":[],"published":{"date-parts":[[2024,6,24]]}}}