{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T18:00:12Z","timestamp":1771264812554,"version":"3.50.1"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["2021R1A2C2014333"],"award-info":[{"award-number":["2021R1A2C2014333"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Ministry of Science and ICT (MSIT) of the Korean Government"},{"name":"Woosong University Research Fund 2024"},{"name":"\u201cRegional Innovation Strategy (RIS)\u201d through the National Research Foundation of Korea (NRF) funded by the Ministry of Education","award":["2023RIS-008"],"award-info":[{"award-number":["2023RIS-008"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2024.3524403","type":"journal-article","created":{"date-parts":[[2024,12,31]],"date-time":"2024-12-31T19:39:52Z","timestamp":1735673992000},"page":"36760-36774","source":"Crossref","is-referenced-by-count":1,"title":["Harnessing the Power of Attention for Patch-Based Biomedical Image Classification"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4773-3733","authenticated-orcid":false,"given":"Gousia","family":"Habib","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Indian Institute of Technology Delhi (IIT Delhi), New Delhi, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9634-374X","authenticated-orcid":false,"given":"Ishfaq","family":"Ahmad Malik","sequence":"additional","affiliation":[{"name":"Yogananda School of AI, Computer and Data Sciences, Shoolini University, Solan, India"}]},{"given":"Shaima","family":"Qureshi","sequence":"additional","affiliation":[{"name":"Department of Computer Science Engineering, National Institute of Technology Srinagar (NIT Srinagar), Srinagar, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3936-1116","authenticated-orcid":false,"given":"In-Ho","family":"Ra","sequence":"additional","affiliation":[{"name":"School of Computer, Information and Communication Engineering, Kunsan National University, Gunsan, South Korea"}]},{"given":"Saurabh","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of AI and Big Data, Woosong University, Daejeon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3049-6655","authenticated-orcid":false,"given":"Surbhi","family":"Sharma","sequence":"additional","affiliation":[{"name":"Department of Computer Science Engineering, National Institute of Technology Srinagar (NIT Srinagar), Srinagar, India"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1056\/aioa2300138"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10721-6"},{"key":"ref3","volume-title":"Brain MRI Dataset","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108224"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.06.066"},{"key":"ref6","volume-title":"Natural Language Processing With Transformers","author":"Tunstall","year":"2022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.116114"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2022452"},{"key":"ref9","first-page":"32","volume-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref10","volume-title":"Revisiting the Unreasonable Effectiveness of Data","author":"Gupta","year":"2017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref12","first-page":"21898","article-title":"SOLQ: Segmenting objects by learning queries","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Dong"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2024.117109"},{"issue":"1","key":"ref15","first-page":"16","article-title":"Advancements and applications of convolutional neural networks in image analysis: A comprehensive review","volume":"3","author":"Zangana","year":"2024","journal-title":"Jurnal Ilmiah Comput. Sci."},{"key":"ref16","article-title":"Big-little net: An efficient multi-scale feature representation for visual and speech recognition","volume-title":"arXiv:1807.03848","author":"Chen","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00353"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.213"},{"key":"ref19","article-title":"Learning both weights and connections for efficient neural network","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Han"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00338"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00356"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.118933"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00378"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref26","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","volume-title":"arXiv:2010.11929","author":"Dosovitskiy","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_13"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3505244"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00009"},{"key":"ref30","volume-title":"Brain MRI Dataset","year":"2021"},{"key":"ref31","volume-title":"Nih Chest X-Ray 14 (224\u00d7224 Resized)","year":"2023"},{"key":"ref32","volume-title":"Camelyon17 Dataset","year":"2017"},{"key":"ref33","article-title":"Linformer: Self-attention with linear complexity","volume-title":"arXiv:2006.04768","author":"Wang","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01565"},{"key":"ref35","article-title":"ViT-1.58b: Mobile vision transformers in the 1-bit era","volume-title":"arXiv:2406.18051","author":"Yuan","year":"2024"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1111\/exsy.13269"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3389\/fncom.2022.1004988"},{"key":"ref38","article-title":"Optimizing vision transformers with data-free knowledge transfer","volume-title":"arXiv:2408.05952","author":"Habib","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20053-3_30"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1364\/OE.19.026161"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/10818670.pdf?arnumber=10818670","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T18:00:10Z","timestamp":1741975210000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10818670\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3524403","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}