{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T04:07:26Z","timestamp":1747886846659,"version":"3.41.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,17]],"date-time":"2025-02-17T00:00:00Z","timestamp":1739750400000},"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":[[2025,2,17]]},"DOI":"10.1109\/ssd64182.2025.10989928","type":"proceedings-article","created":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T17:05:31Z","timestamp":1747760731000},"page":"1236-1241","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Generative Artificial Intelligence for Enhanced Detection and Classification of Diabetic Retinopathy"],"prefix":"10.1109","author":[{"given":"Nastaran","family":"Faraji","sequence":"first","affiliation":[{"name":"University of Sharjah,Department of Electrical Engineering,Sharjah,United Arab Emirates"}]},{"given":"Sam","family":"Ansari","sequence":"additional","affiliation":[{"name":"Research Institute of Science and Engineering, University of Sharjah,Sharjah,United Arab Emirates"}]},{"given":"Khawla A.","family":"Alnajjar","sequence":"additional","affiliation":[{"name":"University of Sharjah,Department of Electrical Engineering,Sharjah,United Arab Emirates"}]},{"given":"Mahmoud A.","family":"Albreem","sequence":"additional","affiliation":[{"name":"University of Sharjah,Department of Electrical Engineering,Sharjah,United Arab Emirates"}]},{"given":"Soliman","family":"Mahmoud","sequence":"additional","affiliation":[{"name":"University of Sharjah,Department of Electrical Engineering,Sharjah,United Arab Emirates"}]},{"given":"Abir","family":"Hussain","sequence":"additional","affiliation":[{"name":"University of Sharjah,Department of Electrical Engineering,Sharjah,United Arab Emirates"}]}],"member":"263","reference":[{"issue":"11","key":"ref1","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1016\/j.ophtha.2021.04.027","article-title":"Global prevalence of diabetic retinopathy and projection of burden through 2045: Systematic review and meta-analysis","volume":"128","author":"Teo","year":"2021","journal-title":"Ophthalmology"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"101445","DOI":"10.1016\/j.imu.2024.101445","article-title":"Artificial intelligence for diabetic retinopathy detection: A systematic review","volume":"45","author":"Senapati","year":"2024","journal-title":"Informatics in Medicine Unlocked"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"106277","DOI":"10.1016\/j.compbiomed.2022.106277","article-title":"Recent trends and advances in fundus image analysis: A review","volume":"151","author":"Iqbal","year":"2022","journal-title":"Computers in Biology and Medicine"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"106168","DOI":"10.1016\/j.bspc.2024.106168","article-title":"Dual branch deep learning network for detection and stage grading of diabetic retinopathy","volume":"93","author":"Shakibania","year":"2024","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"105616","DOI":"10.1016\/j.bspc.2023.105616","article-title":"Automated diagnostic classification of diabetic retinopathy with microvascular structure of fundus images using deep learning method","volume":"88","author":"Sivapriya","year":"2024","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"106346","DOI":"10.1016\/j.bspc.2024.106346","article-title":"Hybrid hunter-prey ladybug beetle optimization enabled deep learning for diabetic retinopathy classification","volume":"95","author":"Sagvekar","year":"2024","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"104821","DOI":"10.1016\/j.imavis.2023.104821","article-title":"Diabetic retinopathy grading review: Current techniques and future directions","volume":"139","author":"Almattar","year":"2023","journal-title":"Image and Vision Computing"},{"issue":"1","key":"ref8","first-page":"8840174","article-title":"Hybrid model structure for diabetic retinopathy classification","volume":"2020","author":"Liu","year":"2020","journal-title":"Journal of Healthcare Engineering"},{"issue":"1","key":"ref9","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1186\/s12880-024-01406-1","article-title":"Optimized deep cnn for detection and classification of diabetic retinopathy and diabetic macular edema","volume":"24","author":"Thanikachalam","year":"2024","journal-title":"BMC Medical Imaging"},{"issue":"4","key":"ref10","doi-asserted-by":"crossref","first-page":"100495","DOI":"10.1016\/j.xops.2024.100495","article-title":"A user-friendly approach for the diagnosis of diabetic retinopathy using chatgpt and automated machine learning","volume":"4","author":"Mohammadi","year":"2024","journal-title":"Ophthalmology Science"},{"issue":"6","key":"ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0233514","article-title":"A convolutional neural network for the screening and staging of diabetic retinopathy","volume":"15","author":"Shaban","year":"2020","journal-title":"PLOS ONE"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"108104","DOI":"10.1016\/j.patcog.2021.108104","article-title":"Mvdrnet: Multi-view diabetic retinopathy detection by combining dcnns and attention mechanisms","volume":"120","author":"Luo","year":"2021","journal-title":"Pattern Recognition"},{"issue":"8","key":"ref13","doi-asserted-by":"crossref","first-page":"6255","DOI":"10.1016\/j.jksuci.2021.05.009","article-title":"Ensemble of multi-stage deep convolutional neural networks for automated grading of diabetic retinopathy using image patches","volume":"34","author":"Deepa","year":"2022","journal-title":"Journal of King Saud University - Computer and Information Sciences"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"104820","DOI":"10.1016\/j.chemolab.2023.104820","article-title":"A multi-level fine-tuned deep learning based approach for binary classification of diabetic retinopathy","volume":"237","author":"Beghriche","year":"2023","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"107035","DOI":"10.1016\/j.bspc.2024.107035","article-title":"Deep neural network model for diagnosing diabetic retinopathy detection: An efficient mechanism for diabetic management","volume":"100","author":"Muthusamy","year":"2025","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"108160","DOI":"10.1016\/j.cmpb.2024.108160","article-title":"Attention-based deep learning framework for automatic fundus image processing to aid in diabetic retinopathy grading","volume":"249","author":"Romero-Oraa","year":"2024","journal-title":"Computer Methods and Programs in Biomedicine"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"106885","DOI":"10.1016\/j.bspc.2024.106885","article-title":"Modified deep inductive transfer learning diagnostic systems for diabetic retinopathy sever-ity levels classification","volume":"99","author":"Vij","year":"2025","journal-title":"Biomedical Signal Processing and Control"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2903171"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"107834","DOI":"10.1016\/j.compbiomed.2023.107834","article-title":"Deep learning innovations in diagnosing diabetic retinopathy: The potential of transfer learning and the diacnn model","volume":"169","author":"Shoaib","year":"2024","journal-title":"Computers in Biology and Medicine"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"106661","DOI":"10.1016\/j.bspc.2024.106661","article-title":"Deep learning cs-resnet-l0l model for diabetic retinopathy classification","volume":"97","author":"Suo","year":"2024","journal-title":"Biomedical Signal Processing and Control"}],"event":{"name":"2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)","start":{"date-parts":[[2025,2,17]]},"location":"Monastir, Tunisia","end":{"date-parts":[[2025,2,20]]}},"container-title":["2025 IEEE 22nd International Multi-Conference on Systems, Signals & Devices (SSD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10989785\/10989811\/10989928.pdf?arnumber=10989928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T05:11:11Z","timestamp":1747804271000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10989928\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,17]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/ssd64182.2025.10989928","relation":{},"subject":[],"published":{"date-parts":[[2025,2,17]]}}}