{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T21:42:07Z","timestamp":1790026927990,"version":"4.0.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"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":["62222604"],"award-info":[{"award-number":["62222604"]}],"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":["62206052"],"award-info":[{"award-number":["62206052"]}],"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":["624B2063"],"award-info":[{"award-number":["624B2063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2024M750424"],"award-info":[{"award-number":["2024M750424"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["020214380120"],"award-info":[{"award-number":["020214380120"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["020214380128"],"award-info":[{"award-number":["020214380128"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Laboratory Fund","award":["ZZKT2024A14"],"award-info":[{"award-number":["ZZKT2024A14"]}]},{"name":"Postdoctoral Fellowship Program of China Postdoctoral Science Foundation","award":["GZC20240252"],"award-info":[{"award-number":["GZC20240252"]}]},{"name":"Jiangsu Funding Program for Excellent Postdoctoral Talent","award":["2024ZB242"],"award-info":[{"award-number":["2024ZB242"]}]},{"name":"Jiangsu Science and Technology Major Project","award":["BG2024031"],"award-info":[{"award-number":["BG2024031"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2023MF037"],"award-info":[{"award-number":["ZR2023MF037"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1109\/tmi.2025.3557537","type":"journal-article","created":{"date-parts":[[2025,4,3]],"date-time":"2025-04-03T18:36:05Z","timestamp":1743705365000},"page":"3025-3037","source":"Crossref","is-referenced-by-count":9,"title":["Balancing Multi-Target Semi-Supervised Medical Image Segmentation With Collaborative Generalist and Specialists"],"prefix":"10.1109","volume":"44","author":[{"given":"You","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory for Novel Software Technology and the National Institute of Healthcare Data Science, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2119-0651","authenticated-orcid":false,"given":"Zekun","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology and the National Institute of Healthcare Data Science, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7091-0702","authenticated-orcid":false,"given":"Lei","family":"Qi","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering and the Key Laboratory of Computer Network and Information Integration (Ministry of Education), Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9981-3738","authenticated-orcid":false,"given":"Qian","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Data and Computer Science, Shandong Women’s University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4534-7318","authenticated-orcid":false,"given":"Yinghuan","family":"Shi","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology and the National Institute of Healthcare Data Science, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2488-1813","authenticated-orcid":false,"given":"Yang","family":"Gao","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology and the National Institute of Healthcare Data Science, Nanjing University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.4108\/eai.12-4-2021.169184"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2835303"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00937-3_43"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_60"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i10.17066"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32226-7_90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102792"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02001"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3211188"},{"key":"ref10","article-title":"Steady progress beats stagnation: Mutual aid of foundation and conventional models in mixed domain semi-supervised medical image segmentation","author":"Ma","year":"2025","journal-title":"arXiv:2503.16997"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs15071768"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12593"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2806309"},{"key":"ref14","article-title":"Deep learning in multi-organ segmentation","author":"Lei","year":"2020","journal-title":"arXiv:2001.10619"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32248-9_45"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IPTA50016.2020.9286453"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i2.25266"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3266137"},{"key":"ref21","article-title":"Contrastive semi-supervised learning for 2D medical image segmentation","author":"Pandey","year":"2021","journal-title":"arXiv:2106.06801"},{"key":"ref22","first-page":"1195","article-title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tarvainen"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295309"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32245-8_67"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3117888"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59710-8_54"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01108"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02286"},{"key":"ref29","article-title":"FixMatchSeg: Fixing FixMatch for semi-supervised semantic segmentation","author":"Upretee","year":"2022","journal-title":"arXiv:2208.00400"},{"key":"ref30","first-page":"596","article-title":"FixMatch: Simplifying semi-supervised learning with consistency and confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Sohn"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00141"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2021.102109"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101766"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00973"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2025.103547"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.102918"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2025.3532084"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3161829"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_30"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_28"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16443-9_4"},{"key":"ref45","first-page":"820","article-title":"Semi-supervised medical image segmentation via cross teaching between CNN and transformer","volume-title":"Proc. Int. Conf. Med. Imag. Deep Learn. (MIDL)","author":"Luo"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01959"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-99-8558-6_18"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00264"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43898-1_56"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2837502"},{"key":"ref51","volume-title":"SSL4MIS","author":"Luo","year":"2020"},{"key":"ref52","article-title":"Customized segment anything model for medical image segmentation","author":"Zhang","year":"2023","journal-title":"arXiv:2304.13785"},{"key":"ref53","article-title":"Temporal ensembling for semi-supervised learning","author":"Laine","year":"2016","journal-title":"arXiv:1610.02242"},{"key":"ref54","article-title":"How to efficiently adapt large segmentation Model(SAM) to medical images","author":"Hu","year":"2023","journal-title":"arXiv:2306.13731"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW60793.2023.00361"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2102.04306"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/11068959\/10948494.pdf?arnumber=10948494","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T17:51:13Z","timestamp":1751651473000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10948494\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7]]},"references-count":56,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2025.3557537","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7]]}}}