{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T20:12:57Z","timestamp":1778789577488,"version":"3.51.4"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3687734","type":"journal-article","created":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T19:50:43Z","timestamp":1777319443000},"page":"68241-68260","source":"Crossref","is-referenced-by-count":0,"title":["HMA-GPNET: A Lightweight Direction-Aware Attention Network for Retinal OCT Disease Classification"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0128-2076","authenticated-orcid":false,"given":"Turgay","family":"Batbat","sequence":"first","affiliation":[{"name":"Department of Biomedical Engineering, Engineering Faculty, Erciyes University, Kayseri, T&#x00FC;rkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3573-1316","authenticated-orcid":false,"given":"Ezzaldeen H. A.","family":"Abukhattab","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Graduate School of Natural and Applied Sciences, Erciyes University, Kayseri, T&#x00FC;rkiye"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/s0140-6736(15)60692-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-33851-9_31"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/s2214-109x(13)70145-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1159\/000337156"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1126\/science.1957169"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1364\/boe.8.001638"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/bjophthalmol-2014-305305"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-30853-z"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/access.2025.3595838"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105368"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref19","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Tan"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2016-011504"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1364\/boe.8.000579"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2017.2780115"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2019.2898414"},{"key":"ref25","first-page":"1","article-title":"MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer","volume-title":"Proc. ICLR","author":"Mehta"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2018.00745"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1807.06521"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01155"},{"key":"ref29","article-title":"CSDA: Channel and spatial dual attention for medical image segmentation","author":"Li","year":"2019","journal-title":"arXiv:1905.09904"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2025.110071"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3389\/fradi.2025.1608052"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2024.107146"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2024.1484880"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/icsintesa62455.2024.10747941"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.120617"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2025.059350"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fcell.2025.1608325"},{"key":"ref38","article-title":"A lightweight multi-scale attention model for retinal disease diagnosis using OCT images","author":"Aouti","year":"2025","journal-title":"SSRN Electron. J."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2196\/37532"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/s2214-109x(20)30488-5"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2024.108726"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03182-7"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1364\/boe.5.003568"},{"key":"ref44","volume-title":"Retinal OCT image classification-C8","author":"Naren","year":"2021"},{"key":"ref45","volume-title":"Large dataset of labeled optical coherence tomography (OCT) and chest X-ray images","author":"Kermany","year":"2018"},{"key":"ref46","volume-title":"Labeled retinal optical coherence tomography dataset for classification of normal, drusen, and CNV cases","author":"Sotoudeh-Paima","year":"2021"},{"key":"ref47","volume-title":"ARMD combined dataset (fundus and OCT)","author":"Lad","year":"2025"},{"key":"ref48","article-title":"Hillel yaffe glaucoma dataset (HYGD): A gold-standard annotated fundus dataset for glaucoma detection","author":"Abramovich","year":"2025","journal-title":"PhysioNet"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11494715.pdf?arnumber=11494715","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T19:59:37Z","timestamp":1778788777000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11494715\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3687734","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}