{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:53:54Z","timestamp":1777568034909,"version":"3.51.4"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"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":["62071285"],"award-info":[{"award-number":["62071285"]}],"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":["82272017"],"award-info":[{"award-number":["82272017"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Eastern Scholars Program from Shanghai Municipal Education Commission"},{"name":"Shanghai Technical Service Center of Science and Engineering Computing, Shanghai University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tmi.2024.3472672","type":"journal-article","created":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T17:22:24Z","timestamp":1727976144000},"page":"1005-1018","source":"Crossref","is-referenced-by-count":15,"title":["Multi-Organ Foundation Model for Universal Ultrasound Image Segmentation With Task Prompt and Anatomical Prior"],"prefix":"10.1109","volume":"44","author":[{"given":"Haobo","family":"Chen","sequence":"first","affiliation":[{"name":"Smart Medicine and AI-Based Radiology Technology (SMART) Laboratory, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"}]},{"given":"Yehua","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China"}]},{"given":"Changyan","family":"Wang","sequence":"additional","affiliation":[{"name":"Smart Medicine and AI-Based Radiology Technology (SMART) Laboratory, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"}]},{"given":"Lin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China"}]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Ultrasound in Medicine, East Hospital, Tongji University School of Medicine, Shanghai, China"}]},{"given":"Hong","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China"}]},{"given":"Yuqing","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Huadong Hospital, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9998-0904","authenticated-orcid":false,"given":"Hong","family":"Ding","sequence":"additional","affiliation":[{"name":"Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7041-643X","authenticated-orcid":false,"given":"Qi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Smart Medicine and AI-Based Radiology Technology (SMART) Laboratory, Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-31449-3"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tmi.2021.3116087"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102629"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10179-4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746172"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103061"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101693"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-023-01885-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-020-01008-z"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmp.2021.05.003"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3001036"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87193-2_23"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118625"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2022.3210047"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43898-1_62"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00125"},{"key":"ref18","first-page":"17864","article-title":"Per-pixel classification is not all you need for semantic segmentation","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Cheng"},{"key":"ref19","article-title":"Medical image understanding with pretrained vision language models: A comprehensive study","volume-title":"arXiv:2209.15517","author":"Qin","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01934"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102035"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-023-01407-0"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87199-4_14"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3250490"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102556"},{"key":"ref26","article-title":"Exploring transfer learning in medical image segmentation using vision-language models","volume-title":"arXiv:2308.07706","author":"Poudel","year":"2023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2019.104863"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0200412"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3459930.3469531"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1117\/12.2073532"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106438"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref33","article-title":"SAM-Med2D","volume-title":"arXiv:2308.16184","author":"Cheng","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-66958-3_14"},{"key":"ref35","article-title":"SAMUS: Adapting segment anything model for clinically-friendly and generalizable ultrasound image segmentation","volume-title":"arXiv:2309.06824","author":"Lin","year":"2309"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01960"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref38","article-title":"TransUNet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2102","journal-title":"arXiv:2102.04306"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.551"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Tan"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01055"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2024.103202"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i7.28514"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1038\/nature14288"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.l6132"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2023.3324485"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/42\/10870394\/10704697.pdf?arnumber=10704697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T06:20:25Z","timestamp":1738736425000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10704697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":50,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2024.3472672","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}