{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T01:37:25Z","timestamp":1773193045784,"version":"3.50.1"},"reference-count":37,"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:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62302051"],"award-info":[{"award-number":["62302051"]}],"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":["12405355"],"award-info":[{"award-number":["12405355"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"General Program of the National Natural Science Foundation","award":["51975026"],"award-info":[{"award-number":["51975026"]}]},{"name":"National Key Research and Development Program of China","award":["2022YFF0607400"],"award-info":[{"award-number":["2022YFF0607400"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3550769","type":"journal-article","created":{"date-parts":[[2025,3,14]],"date-time":"2025-03-14T18:04:10Z","timestamp":1741975450000},"page":"1351-1355","source":"Crossref","is-referenced-by-count":1,"title":["XSNet: A Lightweight X-Ray Security Image Segmentation Model Combining State-Space Models and Convolutional Neural Networks"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6847-2489","authenticated-orcid":false,"given":"Weichao","family":"Jia","sequence":"first","affiliation":[{"name":"Beijing Information Science & Technology University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6110-0561","authenticated-orcid":false,"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Information Science & Technology University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9070-974X","authenticated-orcid":false,"given":"Changsheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ningbo Innovation Research Institute of Beihang University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2680-0394","authenticated-orcid":false,"given":"Jian","family":"Fu","sequence":"additional","affiliation":[{"name":"Ningbo Innovation Research Institute of Beihang University, Ningbo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1856-6160","authenticated-orcid":false,"given":"Qiong","family":"Liu","sequence":"additional","affiliation":[{"name":"Beijing Information Science & Technology University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00789"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3193587"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2023.3265865"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01886-8"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2628381"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2812196"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2019.00262"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/app112110261"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36189-1_41"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/YAC51587.2020.9337635"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/479"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref17","first-page":"1140","article-title":"Segnext: Rethinking convolutional attention design for semantic segmentation","volume":"35","author":"Guo","year":"2022","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref18","first-page":"10326","article-title":"K-Net: Towards unified image segmentation","volume":"34","author":"Zhang","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01871"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref22","first-page":"12077","article-title":"Segformer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01055"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-025-02345-2"},{"key":"ref25","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021"},{"key":"ref26","article-title":"Mamba: Linear-time sequence modeling with selective state spaces (2023)","author":"Gu","year":"2023"},{"key":"ref27","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","author":"Zhu","year":"2024"},{"key":"ref28","article-title":"U-mamba: Enhancing long-range dependency for biomedical image segmentation","author":"Ma","year":"2024"},{"key":"ref29","article-title":"Vmamba: Visual state space model","author":"Liu","year":"2024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e38495"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2024.3470752"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3267271"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3298661"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref35","article-title":"Is attention better than matrix decomposition?","author":"Geng","year":"2021"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00536"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3174339"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/10927647.pdf?arnumber=10927647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T23:57:08Z","timestamp":1743465428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10927647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3550769","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}