{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:50:46Z","timestamp":1774367446594,"version":"3.50.1"},"reference-count":54,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2022YFB4703102"],"award-info":[{"award-number":["2022YFB4703102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62273105"],"award-info":[{"award-number":["62273105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1911401"],"award-info":[{"award-number":["U1911401"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62203121"],"award-info":[{"award-number":["62203121"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Province Foundation","award":["2019B1515120036"],"award-info":[{"award-number":["2019B1515120036"]}]},{"name":"Guangdong Province Foundation","award":["501200069"],"award-info":[{"award-number":["501200069"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1109\/tai.2022.3225372","type":"journal-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T14:26:03Z","timestamp":1669731963000},"page":"104-114","source":"Crossref","is-referenced-by-count":45,"title":["Deep Dual Attention Network for Precise Diagnosis of COVID-19 From Chest CT Images"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3671-4032","authenticated-orcid":false,"given":"Zhijie","family":"Lin","sequence":"first","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5198-7851","authenticated-orcid":false,"given":"Zhaoshui","family":"He","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]},{"given":"Ruoyu","family":"Yao","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8688-5844","authenticated-orcid":false,"given":"Xu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3282-6785","authenticated-orcid":false,"given":"Taiheng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7579-4544","authenticated-orcid":false,"given":"Yamei","family":"Deng","sequence":"additional","affiliation":[{"name":"Department of Radiology, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2041-5214","authenticated-orcid":false,"given":"Shengli","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Automation, Guangdong University of Technology, Guangzhou, China"}]}],"member":"263","reference":[{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020201343"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3119071"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3064913"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3001810"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3090966"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3114747"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00633-5"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3104791"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2020.3035935"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3054306"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3051952"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106849"},{"key":"ref14","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2994908"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-18685-1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200905"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3058783"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3126305"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938758"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3066161"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3042837"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3062771"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2022.116732"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3043808"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2997178"},{"key":"ref31","first-page":"1","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Dosovitskiy","year":"2021"},{"key":"ref32","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani","year":"2017"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108005"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3023463"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3189742"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108168"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2019.2915238"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3142023"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108190"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3023246"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01943-6"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101794"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2021.3136146"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/s21217245"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2020.07.010"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00900-3"},{"key":"ref49","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref50","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Kingma","year":"2015"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-83424-5"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/s21082853"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3122565"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2020.108815"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10384607\/09965606.pdf?arnumber=9965606","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:08:42Z","timestamp":1755911322000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9965606\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1]]},"references-count":54,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tai.2022.3225372","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1]]}}}