{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:14:24Z","timestamp":1780589664000,"version":"3.54.1"},"reference-count":23,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,27]],"date-time":"2024-05-27T00:00:00Z","timestamp":1716768000000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012245","name":"Science and Technology Planning Project of Guangdong Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012245","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,5,27]]},"DOI":"10.1109\/isbi56570.2024.10635664","type":"proceedings-article","created":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T17:49:54Z","timestamp":1724348994000},"page":"1-5","source":"Crossref","is-referenced-by-count":5,"title":["A Foundation Model for General Moving Object Segmentation in Medical Images"],"prefix":"10.1109","author":[{"given":"Zhongnuo","family":"Yan","sequence":"first","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Han","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuhao","family":"Huang","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lian","family":"Liu","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiongquan","family":"Chen","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenlong","family":"Shi","sequence":"additional","affiliation":[{"name":"Shenzhen RayShape Medical Technology Inc.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Cao","sequence":"additional","affiliation":[{"name":"Shenzhen RayShape Medical Technology Inc.,Shenzhen,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Yang","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dong","family":"Ni","sequence":"additional","affiliation":[{"name":"Shenzhen University Medical School, Shenzhen University,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-44824-z"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2023.103061"},{"key":"ref5","article-title":"Track anything: Segment anything meets videos","author":"Yang","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00932"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19815-1_37"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.85"},{"key":"ref9","first-page":"8","article-title":"Video segmentation by non-local consensus voting","volume":"2","author":"Faktor","year":"2014","journal-title":"BMVC"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.242"},{"key":"ref11","first-page":"1","article-title":"A novel spatio-temporal video object segmentation algorithm","volume-title":"ICIT","author":"Zhu","year":"2008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00102"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00488"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.565"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00125"},{"key":"ref17","article-title":"Conv-adapter: Exploring parameter efficient transfer learning for convnets","author":"Chen","year":"2022"},{"key":"ref18","first-page":"36722","article-title":"Amos: A large-scale abdominal multi-organ benchmark for versatile medical image segmentation","volume":"35","author":"Ji","year":"2022","journal-title":"ANIPS"},{"issue":"9","key":"ref19","first-page":"2198","article-title":"Deep learning for segmentation using an open large-scale dataset in 2d echocar-diography","volume":"38","author":"Leclerc","year":"2019","journal-title":"IEEE TMI"},{"key":"ref20","article-title":"Cholecseg8k: A semantic segmentation dataset for laparoscopic cholecystectomy based on cholec80","author":"Hong","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2013.259"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2004.1273918"}],"event":{"name":"2024 IEEE International Symposium on Biomedical Imaging (ISBI)","location":"Athens, Greece","start":{"date-parts":[[2024,5,27]]},"end":{"date-parts":[[2024,5,30]]}},"container-title":["2024 IEEE International Symposium on Biomedical Imaging (ISBI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10635099\/10635102\/10635664.pdf?arnumber=10635664","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T11:50:09Z","timestamp":1725450609000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10635664\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,27]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/isbi56570.2024.10635664","relation":{},"subject":[],"published":{"date-parts":[[2024,5,27]]}}}